Relevant bibliographies by topics / Stereo baseline

Academic literature on the topic 'Stereo baseline'

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Published: 10 March 2023

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Journal articles on the topic "Stereo baseline"

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Sumetheeprasit, Borwonpob, Ricardo Rosales Martinez, Hannibal Paul, Robert Ladig, and Kazuhiro Shimonomura. "Variable Baseline and Flexible Configuration Stereo Vision Using Two Aerial Robots." Sensors 23, no. 3 (January 18, 2023): 1134. http://dx.doi.org/10.3390/s23031134.

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In this work, a new method for aerial robot remote sensing using stereo vision is proposed. A variable baseline and flexible configuration stereo setup is achieved by separating the left camera and right camera on two separate quadrotor aerial robots. Monocular cameras, one on each aerial robot, are used as a stereo pair, allowing independent adjustment of the pose of the stereo pair. In contrast to conventional stereo vision where two cameras are fixed, having a flexible configuration system allows a large degree of independence in changing the configuration in accordance with various kinds of applications. Larger baselines can be used for stereo vision of farther away targets while using a vertical stereo configuration in tasks where there would be a loss of horizontal overlap caused by a lack of suitable horizontal configuration. Additionally, a method for the practical use of variable baseline stereo vision is introduced, combining multiple point clouds from multiple stereo baselines. Issues from using an inappropriate baseline, such as estimation error induced by insufficient baseline, and occlusions from using too large a baseline can be avoided with this solution.
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Okutomi, M., and T. Kanade. "A multiple-baseline stereo." IEEE Transactions on Pattern Analysis and Machine Intelligence 15, no. 4 (April 1993): 353–63. http://dx.doi.org/10.1109/34.206955.

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Elias, Rimon. "Enhancing Sensor Measurements throughWide Baseline Stereo Images." ELCVIA Electronic Letters on Computer Vision and Image Analysis 7, no. 3 (December 3, 2008): 36. http://dx.doi.org/10.5565/rev/elcvia.222.

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Dazhi, Zhang, Wang Yongtao, and Tao Wenbing. "Epipolar Geometry Estimation for Wide Baseline Stereo." International Journal of Engineering and Manufacturing 2, no. 3 (June 29, 2012): 38–45. http://dx.doi.org/10.5815/ijem.2012.03.06.

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Zafeiriou, Stefanos, Mark F. Hansen, Gary A. Atkinson, Maria Petrou, and Melvyn L. Smith. "Baseline face recognition using photometric stereo data." Procedia Computer Science 2 (2010): 20–25. http://dx.doi.org/10.1016/j.procs.2010.11.004.

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Olson, Clark F., and Habib Abi-Rached. "Wide-baseline stereo vision for terrain mapping." Machine Vision and Applications 21, no. 5 (February 6, 2009): 713–25. http://dx.doi.org/10.1007/s00138-009-0188-9.

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Igual, L., J. Preciozzi, L. Garrido, A. Almansa, V. Caselles, and B. Rougé. "Automatic low baseline stereo in urban areas." Inverse Problems & Imaging 1, no. 2 (2007): 319–48. http://dx.doi.org/10.3934/ipi.2007.1.319.

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Seo, Beom-Su, Byungjae Park, and Hoon Choi. "Sensing Range Extension for Short-Baseline Stereo Camera Using Monocular Depth Estimation." Sensors 22, no. 12 (June 18, 2022): 4605. http://dx.doi.org/10.3390/s22124605.

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This paper proposes a method to extend a sensing range of a short-baseline stereo camera (SBSC). The proposed method combines a stereo depth and a monocular depth estimated by a convolutional neural network-based monocular depth estimation (MDE). To combine a stereo depth and a monocular depth, the proposed method estimates a scale factor of a monocular depth using stereo depth–mono depth pairs and then combines the two depths. Another advantage of the proposed method is that the trained MDE model may be utilized for different environments without retraining. The performance of the proposed method is verified qualitatively and quantitatively using the directly collected and open datasets.
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Kaczmarek, Adam L. "3D Vision System for a Robotic Arm Based on Equal Baseline Camera Array." Journal of Intelligent & Robotic Systems 99, no. 1 (December 4, 2019): 13–28. http://dx.doi.org/10.1007/s10846-019-01117-8.

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AbstractThis paper presents a lightweight 3D vision system called Equal Baseline Camera Array (EBCA). EBCA can work in different light conditions and it can be applied for measuring large range of distances. The system is a useful alternative to other known distance measuring devices such as structured-light 3D scanners, time-of-flight cameras, Light Detection and Ranging (LIDAR) devices and structure from motion techniques. EBCA can be mounted on a robotic arm without putting significant load on its construction. EBCA consists of a central camera and a ring of side cameras. The system uses stereo matching algorithms to acquire disparity maps and depth maps similarly as in case of using stereo cameras. This paper introduces methods of adapting stereo matching algorithms designed for stereo cameras to EBCA. The paper also presents the analysis of local, semi-global and global stereo matching algorithms in the context of the EBCA usage. Experiments show that, on average, results obtained from EBCA contain 37.49% less errors than the results acquired from a single stereo camera used in the same conditions.
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Li, Jing, Hong Zhao, Zigang Li, Feifei Gu, Zixin Zhao, Yueyang Ma, and Meiqi Fang. "A long baseline global stereo matching based upon short baseline estimation." Measurement Science and Technology 29, no. 5 (March 23, 2018): 055201. http://dx.doi.org/10.1088/1361-6501/aab079.

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Dissertations / Theses on the topic "Stereo baseline"

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Fan, Shu Fei. "Wide-baseline stereo for three-dimensional urban scenes." Thesis, McGill University, 2010. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=95034.

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Like humans, computer vision systems can better infer a scene's 3-D structure by processing its 2-D images taken from multiple viewpoints. While this seems effortless for humans, it is still a challenge for computer vision. Underlying the act of associating the different perspectives is a problem called wide-baseline stereo, which computes the geometric relationship between two overlapping views. Wide-baseline stereo can be problematic when working on images taken of real-life urban environments, due to practical issues such as poor image quality or ambiguity raised by repetitive patterns. We analyze why these factors pose difficulties for current methods and propose principles that can make wide-baseline stereo more effective, in terms of both robustness and accuracy. We treat wide-baseline stereo as a sequence of three sub-problems: feature detection, feature matching, and fundamental matrix estimation. We propose improvements for each of these and test them on real images of 3-D urban scenes. For feature detection, we demonstrate that when we use both image intensity contrast and entropy-based visual saliency, we are better at repeatably extracting features of a 3-D scene. We use intensity contrast as a cue for obtaining initial feature seeds, which are then evaluated and locally adapted according to an entropy-based saliency measure. We select features with high saliency scores. Experimental comparisons against peer feature detectors show that our method detects more regular structures and fewer noisy patterns. As a result, our method detects features with high repeatability, which is conducive to the subsequent feature matching. In the case of feature matching, we show that we can match features more robustly when using both local feature appearance and regional image information. We model global image information with a graph, whose nodes contain local feature appearances and edges encode semi-local proximity structure. Working on this graph, we convert t
L'utilisation de plusieurs points de vue d'une scène pour en déterminer sa structure tridimensionnelle est un exercice effectué autant par l'humain que par certains systèmes de vision artificielle. Mais alors qu'il ne requiert aucun effort pour l'humain, il représente un défi pour le domaine de la vision par ordinateur. Un problème sous-jacent à celui d'associer plusieurs perspectives d'une scène est celui de la stéréoscopie pour une longue ligne de base, qui consiste à déterminer les relations géométriques entre deux vues qui se chevauchent. La stéréo pour une longue ligne de base (lorsque les deux points de vue sont éloignés) peut être problématique dans un environnement urbain, en raison d'une qualité parfois pauvre des images, et aussi de l'ambiguïté que peut soulever des formes répétitives. Cette thèse analyse les raisons pour lesquelles ces facteurs peuvent être problématiques pour les méthodes actuelles et propose des principes qui permettent une stéréo plus efficace, autant au point de vue de la robustesse que de la précision. La stéréo d'images provenant de points de vues éloignés est divisée en trois sous-problémes: la détection de caractéristiques visuelles, leur appariement, ainsi que l'estimation de la matrice fondamentale. Des améliorations sont proposées pour chaque élément, et des expérimentations sur des données réelles de scènes urbaines sont présentées. Pour la détection de caractéristiques, il est démontré que lorsque le contraste en intensité des images ainsi que la saillance visuelle basée sur l'entropie sont utilisés, nous obtenons de meilleurs résultats de détection de caractéristiques de scènes tridimensionnelles. Le contraste en intensité est utilisé pour obtenir des points de départ pour les caractéristiques, qui sont ensuite évalués et adapté localement selon une mesure de saillance basée sur l'entropie. Les caractéristiques ayant obtenues une mesure élevée de sai
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Fanto, Peter Louis. "Automatic Positioning and Design of a Variable Baseline Stereo Boom." Thesis, Virginia Tech, 2012. http://hdl.handle.net/10919/34170.

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Conventional stereo vision systems rely on two spatially fixed cameras to gather depth information about a scene. The cameras typically have a fixed distance between them, known as the baseline. As the baseline increases, the estimated 3D information becomes more accurate, which makes it advantageous to have as large a baseline as possible. However, large baselines have problems whenever objects approach the cameras. The objects begin to leave the field of view of the cameras, making it impossible to determine where they are located in 3D space. This becomes especially important if an object of interest must be actuated upon and is approached by a vehicle. In an attempt to overcome this limitation, this thesis introduces a variable baseline stereo system that can adjust its baseline automatically based on the location of an object of interest. This allows accurate depth information to be gathered when an object is both near and far. The system was designed to operate under, and automatically move to a large range of different baselines. This thesis presents the mechanical design of the stereo boom. This is followed by a derivation of a control scheme that adjusts the baseline based on an estimate object location, which is gathered from stereo vision. This algorithm ensures that a certain incident angle on an object of interest is never surpassed. This maximum angle is determined by where a stereo correspondence algorithm, Semi-Global Block Matching, fails to create full reconstructions.
Master of Science
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Dickscheid, Timo [Verfasser]. "Robust Wide-Baseline Stereo Matching for Sparsely Textured Scenes / Timo Dickscheid." Bonn : Universitäts- und Landesbibliothek Bonn, 2011. http://d-nb.info/1016098723/34.

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Dickscheid, Timo [Verfasser]. "Robust Wide-Baseline Stereo Matching for Sparsely Textured Scenes / Timo Dickscheid." Bonn : Universitäts- und Landesbibliothek Bonn, 2020. http://d-nb.info/1205462686/34.

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Kumar, Prashant. "Online 3D Reconstruction and Ground Segmentation using Drone based Long Baseline Stereo Vision System." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/98009.

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This thesis presents online 3D reconstruction and ground segmentation using unmanned aerial vehicle (UAV) based stereo vision. For this purpose, a long baseline stereo vision system has been designed and built. Application of this system is to work as part of an air and ground based multi-robot autonomous terrain surveying project at Unmanned Systems Lab (USL), Virginia Tech, to act as a first responder robotic system in disaster situations. Areas covered by this thesis are design of long baseline stereo vision system, study of stereo vision raw output, techniques to filter out outliers from raw stereo vision output, a 3D reconstruction method and a study to improve running time by controlling the density of point clouds. Presented work makes use of filtering methods and implementations in Point Cloud Library (PCL) and feature matching on graphics processing unit (GPU) using OpenCV with CUDA. Besides 3D reconstruction, the challenge in the project was speed and several steps and ideas are presented to achieve it. Presented 3D reconstruction algorithm uses feature matching in 2D images, converts keypoints to 3D using disparity images, estimates rigid body transformation between matched 3D keypoints and fits point clouds. To correct and control orientation and localization errors, it fits re-projected UAV positions on GPS recorded UAV positions using iterative closest point (ICP) algorithm as the correction step. A new but computationally intensive process of use of superpixel clustering and plane fitting to increase resolution of disparity images to sub-pixel resolution is also presented. Results section provides accuracy of 3D reconstruction results. The presented process is able to generate application acceptable semi-dense 3D reconstruction and ground segmentation at 8-12 frames per second (fps). In 3D reconstruction of an area of size 25 x 40 m2, with UAV flight altitude of 23 m, average obstacle localization error and average obstacle size/dimension error is found to be of 17 cm and 3 cm, respectively.
MS
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Ivekovic, Spela. "Disparity map completion for trilinear-tensor view synthesis from wide-baseline stereo." Thesis, Heriot-Watt University, 2008. http://hdl.handle.net/10399/2183.

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TANIMOTO, Masayuki, Toshiaki FUJII, Bunpei TOUJI, Tadahiko KIMOTO, and Takashi IMORI. "A Segmentation-Based Multiple-Baseline Stereo (SMBS) Scheme for Acquisition of Depth in 3-D Scenes." Institute of Electronics, Information and Communication Engineers, 1998. http://hdl.handle.net/2237/14997.

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Dou, Qingxu. "From small to large baseline multiview stereo : dealing with blur, clutter and occlusions." Thesis, Heriot-Watt University, 2011. http://hdl.handle.net/10399/2466.

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This thesis addresses the problem of reconstructing the three-dimensional (3D) digital model of a scene from a collection of two-dimensional (2D) images taken from it. To address this fundamental computer vision problem, we propose three algorithms. They are the main contributions of this thesis. First, we solve multiview stereo with the o -axis aperture camera. This system has a very small baseline as images are captured from viewpoints close to each other. The key idea is to change the size or the 3D location of the aperture of the camera so as to extract selected portions of the scene. Our imaging model takes both defocus and stereo information into account and allows to solve shape reconstruction and image restoration in one go. The o -axis aperture camera can be used in a small-scale space where the camera motion is constrained by the surrounding environment, such as in 3D endoscopy. Second, to solve multiview stereo with large baseline, we present a framework that poses the problem of recovering a 3D surface in the scene as a regularized minimal partition problem of a visibility function. The formulation is convex and hence guarantees that the solution converges to the global minimum. Our formulation is robust to view-varying extensive occlusions, clutter and image noise. At any stage during the estimation process the method does not rely on the visual hull, 2D silhouettes, approximate depth maps, or knowing which views are dependent(i.e., overlapping) and which are independent( i.e., non overlapping). Furthermore, the degenerate solution, the null surface, is not included as a global solution in this formulation. One limitation of this algorithm is that its computation complexity grows with the number of views that we combine simultaneously. To address this limitation, we propose a third formulation. In this formulation, the visibility functions are integrated within a narrow band around the estimated surface by setting weights to each point along optical rays. This thesis presents technical descriptions for each algorithm and detailed analyses to show how these algorithms improve existing reconstruction techniques.
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Li, Vladimir. "Evaluation of the CNN Based Architectures on the Problem of Wide Baseline Stereo Matching." Thesis, KTH, Datorseende och robotik, CVAP, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-192476.

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Three-dimensional information is often used in robotics and 3D-mapping. There exist several ways to obtain a three-dimensional map. However, the time of flight used in the laser scanners or the structured light utilized by Kinect-like sensors sometimes are not sufficient. In this thesis, we investigate two CNN based stereo matching methods for obtaining 3D-information from a grayscaled pair of rectified images.While the state-of-the-art stereo matching method utilize a Siamese architecture, in this project a two-channel and a two stream network are trained in an attempt to outperform the state-of-the-art. A set of experiments were performed to achieve optimal hyperparameters. By changing one parameter at the time, the networks with architectures mentioned above are trained. After a completed training the networks are evaluated with two criteria, the error rate, and the runtime.Due to time limitations, we were not able to find optimal learning parameters. However, by using settings from [17] we train a two-channel network that performed almost on the same level as the state-of-the-art. The error rate on the test data for our best architecture is 2.64% while the error rate for the state-of-the-art Siamese network is 2.62%. We were not able to achieve better performance than the state-of-the-art, but we believe that it is possible to reduce the error rate further. On the other hand, the state-of-the-art Siamese stereo matching network is more efficient and faster during the disparity estimation. Therefore, if the time efficiency is prioritized, the Siamese based network should be considered.
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Galardini, Luca. "Research on Methods for Processing Large-Baseline Stereo Camera Data for Long Range 3D Environmental Perception." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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Depth perception and 3D object recognition with stereo cameras has a variety of applications. For example, the technology enables to sense ob-jects and possible dangers on automated cars using passive and cheap sen-sors. However, sensing range corresponds to camera baseline, and rigid camera mounting is only available to rather small baseline setups. Thus, typical systems do not exceed sensing ranges of around 50m. To enable higher ranges with baselines of about 1-2m on moving and vibrating plat-forms, non-rigidity of the setup (i.e. a variable relative camera orientation) must be considered. Hence, calibration and depth image processing must be extended with re-calibration with every stereo pair along the image se-quence. Ideally, this re-calibration works in real-time and on arbitrary im-age sequences, however this must still be evaluated.
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Books on the topic "Stereo baseline"

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IEEE Workshop on Stereo and Multi-Baseline Vision (2001 Kauai, Hawaii). IEEE Workshop on stereo and Multi-Baseline Vision (SMBV 2001): Proceedings, 9-10 December 2001, Kkauai, Hawaii. Los Alamitos, Calif: IEEE Computer Society, 2001.

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Marcus, Daniel. Baseline marketing study of the steel foundry industry. [Des Plaines, Ill.]: Steel Founders' Society of America, 1990.

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Stereo and Multi-Baseline Vision (Smbv 2001): 2001 IEEE Workshop. Ieee, 2001.

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Hawaii) IEEE Workshop on Stereo and Multi-Baseline Vision (2001 : Kauai. Stereo and Multi-Baseline Vision (Smbv 2001), 2001 IEEE Workshop on. Ieee, 2001.

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Search and Target Acquisition: Single Line of Sight Versus Wide Baseline Stereo. Storming Media, 2001.

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Nationwide beef microbiological baseline data collection program: Steers and heifers : October 1992-September 1993. [Washington, D.C.]: U.S. Dept. of Agriculture, Food Safety and Inspection Service, Science and Technology, Microbiology Division, 1994.

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Book chapters on the topic "Stereo baseline"

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Gallup, David. "Multi-baseline Stereo." In Computer Vision, 498–501. Boston, MA: Springer US, 2014. http://dx.doi.org/10.1007/978-0-387-31439-6_199.

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Gallup, David. "Multi-baseline Stereo." In Computer Vision, 822–25. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63416-2_199.

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Xie, Jun, and Hung Tat Tsui. "Wide Baseline Stereo Matching by Corner-Edge-Regions." In Lecture Notes in Computer Science, 713–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30125-7_88.

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Kang, Yun-Suk, and Yo-Sung Ho. "Efficient Stereo Image Rectification Method Using Horizontal Baseline." In Advances in Image and Video Technology, 301–10. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25367-6_27.

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Chen, Tao, Yiguang Liu, Jie Li, and Pengfei Wu. "Fast Narrow-Baseline Stereo Matching Using CUDA Compatible GPUs." In Communications in Computer and Information Science, 10–17. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-47791-5_2.

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Sakamoto, Shizuo, Ingemar J. Cox, and Johji Tajima. "A multiple-baseline stereo for precise human face acquisition." In Audio- and Video-based Biometric Person Authentication, 419–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0016023.

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Nuske, Stephen, and Jay Patravali. "Finding Better Wide Baseline Stereo Solutions Using Feature Quality." In Field and Service Robotics, 83–98. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67361-5_6.

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Zhang, Qian, and King Ngi Ngan. "Dense Stereo Matching from Separated Views of Wide-Baseline Images." In Advanced Concepts for Intelligent Vision Systems, 255–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17688-3_25.

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Kumar Das, Saikat, Pankaj Kumar Bajpai, and Rituparna Sarkar. "Fast Stereo Depth Estimation in Smartphone Devices with Narrow Baseline." In Communications in Computer and Information Science, 3–13. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8697-2_1.

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Gee, Trevor, Georgy Gimel’farb, Alexander Woodward, Rachel Ababou, Alfonso Gastelum Strozzi, and Patrice Delmas. "Guided Stereo to Improve Depth Resolution of a Small Baseline Stereo Camera Using an Image Sequence." In Advanced Concepts for Intelligent Vision Systems, 480–91. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-40605-9_41.

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Conference papers on the topic "Stereo baseline"

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Gallup, David, Jan-Michael Frahm, Philippos Mordohai, and Marc Pollefeys. "Variable baseline/resolution stereo." In 2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2008. http://dx.doi.org/10.1109/cvpr.2008.4587671.

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Tátraiová-Dařílková, Kateřina. "Wide baseline stereo correspondences acceleration." In the 23rd Spring Conference. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/2614348.2614360.

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Mishkin, Dmytro, Jiri Matas, Michal Perdoch, and Karel Lenc. "WxBS: Wide Baseline Stereo Generalizations." In British Machine Vision Conference 2015. British Machine Vision Association, 2015. http://dx.doi.org/10.5244/c.29.12.

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Ou, Jiawei, Chanjuan Wen, and Jinyuan Jia. "Runtime Baseline Adjustment for Stereo Panorama." In 2008 International Conference on Cyberworlds (CW). IEEE, 2008. http://dx.doi.org/10.1109/cw.2008.136.

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Honegger, Dominik, Torsten Sattler, and Marc Pollefeys. "Embedded real-time multi-baseline stereo." In 2017 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2017. http://dx.doi.org/10.1109/icra.2017.7989615.

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Murray, Simon, Michael Brogan, Sean Haughey, Simon McLoughlin, Catherine Deegan, and Conor Fitzgerald. "Short Stereo Baseline Retroreflector Detection Method." In 2011 Irish Machine Vision and Image Processing Conference (IMVIP). IEEE, 2011. http://dx.doi.org/10.1109/imvip.2011.32.

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"Proceedings IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001)." In Proceedings IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001). IEEE, 2001. http://dx.doi.org/10.1109/smbv.2001.988756.

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Rao Naveed Iqbal and M. Junaid Khan. "Wide baseline stereo based on background modeling." In 2007 International Conference on Machine Vision. IEEE, 2007. http://dx.doi.org/10.1109/icmv.2007.4469265.

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Sanket, Nitin J., Chahat Deep Singh, Varun Asthana, Cornelia Fermuller, and Yiannis Aloimonos. "MorphEyes: Variable Baseline Stereo For Quadrotor Navigation." In 2021 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2021. http://dx.doi.org/10.1109/icra48506.2021.9561116.

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Chetverikov, D., Z. Megyesi, and Z. Janko. "Finding region correspondences for wide baseline stereo." In Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. IEEE, 2004. http://dx.doi.org/10.1109/icpr.2004.1333757.

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Reports on the topic "Stereo baseline"

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Zitnick, C. L., and Jon A. Webb. Multi-Baseline Stereo Using Surface Extraction. Fort Belvoir, VA: Defense Technical Information Center, November 1996. http://dx.doi.org/10.21236/ada319747.

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Watkins, Wendell R. Search and Target Acquisition: Single Line of Sight Versus Wide Baseline Stereo. Fort Belvoir, VA: Defense Technical Information Center, September 2001. http://dx.doi.org/10.21236/ada396039.

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Jackson, D. G. Jr. Baseline mapping study of the Steed Pond aquifer and vadose zone beneath A/M Area, Savannah River Site, Aiken, South Carolina. Office of Scientific and Technical Information (OSTI), January 2000. http://dx.doi.org/10.2172/750906.

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Stoner, K. J. Reactor Materials Program - Baseline Material Property Handbook - Mechanical Properties of 1950's Vintage Stainless Steel Weldment Components, Task Number 89-23-A-1. Office of Scientific and Technical Information (OSTI), November 1999. http://dx.doi.org/10.2172/14751.

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JACKSON, DENNISG. Baseline Mapping Study of the Steed Pond Aquifer and Crouch Branch Confining Unit Beneath A/M Area, Savannah River Site, Aiken, South Carolina. Office of Scientific and Technical Information (OSTI), September 1998. http://dx.doi.org/10.2172/833519.

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Weissinger, Rebecca, and Dana Witwicki. Riparian monitoring of wadeable streams at Courthouse Wash, Arches National Park: Summary report, 2010–2019. Edited by Alice Wondrak Biel. National Park Service, November 2021. http://dx.doi.org/10.36967/nrr-2287907.

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The goal of Northern Colorado Plateau Network (NCPN) riparian monitoring is to determine long-term trends in hydrologic, geomorphic, and vegetative properties of wadeable streams in the context of changes in other ecological drivers, stressors, and processes. This information is intended to provide early warning of resource degradation and determine natural variability of wadeable streams. This report summarizes NCPN monitoring of Courthouse Wash in Arches National Park (NP) from 2010 to 2019. The focus of this report is to (1) present geomorphology and vegetation data from five reaches monitored in Courthouse Wash from 2010 to 2015, and (2) examine patterns in water availability at one monitoring reach from November 2010 to December 2019. Vegetation sampling and geomorphology surveys were suspended in 2016 due to budget cuts; this report presents baseline data for future comparisons. The NCPN has five monitoring reaches located between the inflow of Sevenmile Canyon, a major tributary, and the terminus of Courthouse Wash, at the Colorado River. Two reaches (2, 5) are located in Upper Courthouse Wash, and three (1, 4, 7) in Lower Courthouse Wash. Hydrologic monitoring wells are installed only at Reach 1. During our monitoring period, which included drought years in 2012 and 2018 and a wetter-than-average period from fall 2013 to 2014, groundwater levels showed steep declines corresponding to the start of the growing season each year. Hot, dry summers and falls in 2012, 2018, and 2019 showed the deepest troughs in groundwater levels. Active monsoon years helped elevate summer and fall groundwater levels in 2013 and 2014. Continued monitoring will help us better understand the relationship of climate and water availability at this reach. A geomorphic survey was completed once for reaches 2, 4, and 7, and twice for reaches 5 and 1. Powerful floods during our monitoring period resulted in aggradation of the channel in reaches 5 and 1, which were first surveyed in March 2013. Flooding in September 2013 resulted in an average of 0.24 meters of deposition found in the channel thalweg at Reach 1 in March 2014. Storm events in May 2014 caused additional aggradation. In March 2015, an average of 0.41 meters of deposition was recorded in the channel thalweg at Reach 5, with 0.32 meters of deposition between the vegetation transect headpins compared to the 2013 data. The riparian vegetation recorded at our monitoring reaches is consistent with an open-canopy Fremont cottonwood woodland with a diverse understory. Canopy closure ranged from 29% to 52%. Measurements were sensitive enough to detect a 10% reduction in canopy closure at Reach 5 during a pest infestation in June 2013. Canopy closure subsequently rebounded at the reach by 2015. Total obligate and facultative wetland cover ranged from 7% to 26%. Fremont cottonwood seedlings, saplings, and overstory trees were present at all reaches, indicating good potential for future regeneration of the canopy structure. These data can serve as a baseline for comparison with future monitoring efforts. One area of management concern is that exotic-plant frequency and cover were relatively high in all monitoring reaches. Exotic cover ranged from 2% to 30%. High exotic cover was related to years with high cover of annual brome grasses. High cover of exotic grasses is associated with increased wildfire risk in southwestern riparian systems, which are not well-adapted to fire. Managers should be prepared for this increased risk following wet winters that promote annual brome grass cover. Beaver activity was noted throughout bedrock-constrained reaches in Courthouse Wash. Beaver activity can reduce adjacent woody riparian vegetation cover, but it also contributes to maintaining a higher water table and persistent surface water. Climate change is likely to be an increasingly significant stressor in Courthouse Wash, as hotter, drier conditions decrease water levels and increase drought stress...
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Raymond, Kara, Laura Palacios, Cheryl McIntyre, and Evan Gwilliam. Status of climate and water resources at Saguaro National Park: Water year 2019. Edited by Alice Wondrak Biel. National Park Service, December 2021. http://dx.doi.org/10.36967/nrr-2288717.

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Climate and hydrology are major drivers of ecosystems. They dramatically shape ecosystem structure and function, particularly in arid and semi-arid ecosystems. Understanding changes in climate, groundwater, and water quality and quantity is central to assessing the condition of park biota and key cultural resources. The Sonoran Desert Network collects data on climate, groundwater, and surface water at 11 National Park Service units in south-ern Arizona and New Mexico. This report provides an integrated look at climate, groundwater, and springs conditions at Saguaro National Park (NP) during water year 2019 (October 2018–September 2019). Annual rainfall in the Rincon Mountain District was 27.36" (69.49 cm) at the Mica Mountain RAWS station and 12.89" (32.74 cm) at the Desert Research Learning Center Davis station. February was the wettest month, accounting for nearly one-quarter of the annual rainfall at both stations. Each station recorded extreme precipitation events (>1") on three days. Mean monthly maximum and minimum air temperatures were 25.6°F (-3.6°C) and 78.1°F (25.6°C), respectively, at the Mica Mountain station, and 37.7°F (3.2°C) and 102.3°F (39.1°C), respectively, at the Desert Research Learning Center station. Overall temperatures in WY2019 were cooler than the mean for the entire record. The reconnaissance drought index for the Mica Mountain station indicated wetter conditions than average in WY2019. Both of the park’s NOAA COOP stations (one in each district) had large data gaps, partially due to the 35-day federal government shutdown in December and January. For this reason, climate conditions for the Tucson Mountain District are not reported. The mean groundwater level at well WSW-1 in WY2019 was higher than the mean for WY2018. The water level has generally been increasing since 2005, reflecting the continued aquifer recovery since the Central Avra Valley Storage and Recovery Project came online, recharging Central Arizona Project water. Water levels at the Red Hills well generally de-clined starting in fall WY2019, continuing through spring. Monsoon storms led to rapid water level increases. Peak water level occurred on September 18. The Madrona Pack Base well water level in WY2019 remained above 10 feet (3.05 m) below measuring point (bmp) in the fall and winter, followed by a steep decline starting in May and continuing until the end of September, when the water level rebounded following a three-day rain event. The high-est water level was recorded on February 15. Median water levels in the wells in the middle reach of Rincon Creek in WY2019 were higher than the medians for WY2018 (+0.18–0.68 ft/0.05–0.21 m), but still generally lower than 6.6 feet (2 m) bgs, the mean depth-to-water required to sustain juvenile cottonwood and willow trees. RC-7 was dry in June–September, and RC-4 was dry in only September. RC-5, RC-6 and Well 633106 did not go dry, and varied approximately 3–4 feet (1 m). Eleven springs were monitored in the Rincon Mountain District in WY2019. Most springs had relatively few indications of anthropogenic or natural disturbance. Anthropogenic disturbance included spring boxes or other modifications to flow. Examples of natural disturbance included game trails and scat. In addition, several sites exhibited slight disturbance from fires (e.g., burned woody debris and adjacent fire-scarred trees) and evidence of high-flow events. Crews observed 1–7 taxa of facultative/obligate wetland plants and 0–3 invasive non-native species at each spring. Across the springs, crews observed four non-native plant species: rose natal grass (Melinis repens), Kentucky bluegrass (Poa pratensis), crimson fountaingrass (Cenchrus setaceus), and red brome (Bromus rubens). Baseline data on water quality and chemistry were collected at all springs. It is likely that that all springs had surface water for at least some part of WY2019. However, temperature sensors to estimate surface water persistence failed...
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