Добірка наукової літератури з теми "3D Depth Model"
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Статті в журналах з теми "3D Depth Model"
Mukhtar, N. F., S. Azri, U. Ujang, M. G. Cuétara, G. M. Retortillo, and S. Mohd Salleh. "3D MODEL FOR INDOOR SPACES USING DEPTH SENSOR." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W16 (October 1, 2019): 471–79. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w16-471-2019.
Повний текст джерелаLiu, Yong Guang, Ming Quan Zhou, and Ya Chun Fan. "Using Depth Image in 3D Model Retrieval System." Advanced Materials Research 268-270 (July 2011): 981–87. http://dx.doi.org/10.4028/www.scientific.net/amr.268-270.981.
Повний текст джерелаLü, Qingtian, Guang Qi, and Jiayong Yan. "3D geologic model of Shizishan ore field constrained by gravity and magnetic interactive modeling: A case history." GEOPHYSICS 78, no. 1 (January 1, 2013): B25—B35. http://dx.doi.org/10.1190/geo2012-0126.1.
Повний текст джерелаSintunata, Vicky, and Terumasa Aoki. "Color Segmentation Based Depth Adjustment for 3D Model Reconstruction from a Single Input Image." International Journal of Computer Theory and Engineering 8, no. 2 (2016): 171–76. http://dx.doi.org/10.7763/ijcte.2016.v8.1039.
Повний текст джерелаZhang, Huang, and Zhao. "A New Model of RGB-D Camera Calibration Based On 3D Control Field." Sensors 19, no. 23 (November 21, 2019): 5082. http://dx.doi.org/10.3390/s19235082.
Повний текст джерелаZhang, Fan, Junli Zhao, Liang Wang, and Fuqing Duan. "3D Face Model Super-Resolution Based on Radial Curve Estimation." Applied Sciences 10, no. 3 (February 5, 2020): 1047. http://dx.doi.org/10.3390/app10031047.
Повний текст джерелаHollands, J. G., Heather A. Parker, and Andrew Morton. "Judgments of 3D Bars in Depth." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 46, no. 17 (September 2002): 1565–69. http://dx.doi.org/10.1177/154193120204601708.
Повний текст джерелаKwon, Ki Hoon, Munkh-Uchral Erdenebat, Nam Kim, Anar Khuderchuluun, Shariar Md Imtiaz, Min Young Kim, and Ki-Chul Kwon. "High-Quality 3D Visualization System for Light-Field Microscopy with Fine-Scale Shape Measurement through Accurate 3D Surface Data." Sensors 23, no. 4 (February 15, 2023): 2173. http://dx.doi.org/10.3390/s23042173.
Повний текст джерелаZhang, X. Y., B. Zhou, H. Li, and W. Xin. "Depth detection of spar cap defects in large-scale wind turbine blades based on a 3D heat conduction model using step heating infrared thermography." Measurement Science and Technology 33, no. 5 (February 8, 2022): 055008. http://dx.doi.org/10.1088/1361-6501/ac41a8.
Повний текст джерелаYu, Jongsub, and Hyukdoo Choi. "YOLO MDE: Object Detection with Monocular Depth Estimation." Electronics 11, no. 1 (December 27, 2021): 76. http://dx.doi.org/10.3390/electronics11010076.
Повний текст джерелаДисертації з теми "3D Depth Model"
Sexton, Paul. "3D velocity-depth model building using surface seismic and well data." Thesis, Durham University, 1998. http://etheses.dur.ac.uk/4824/.
Повний текст джерелаBIAGIOLI, ELISA. "Depth-averaged and 3D Finite Volume numerical models for viscous fluids, with application to the simulation of lava flows." Doctoral thesis, Università degli studi di Genova, 2021. http://hdl.handle.net/11567/1057651.
Повний текст джерелаSankoh, Hiroshi. "Object Extraction for Virtual-viewpoint Video Synthesis." 京都大学 (Kyoto University), 2015. http://hdl.handle.net/2433/200465.
Повний текст джерелаHua, Xiaoben, and Yuxia Yang. "A Fusion Model For Enhancement of Range Images." Thesis, Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2203.
Повний текст джерелаRoom 401, No.56, Lane 21, Yin Gao Road, Shanghai, China
Diskin, Yakov. "Dense 3D Point Cloud Representation of a Scene Using Uncalibrated Monocular Vision." University of Dayton / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1366386933.
Повний текст джерелаStålberg, Martin. "Reconstruction of trees from 3D point clouds." Thesis, Uppsala universitet, Avdelningen för systemteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-316833.
Повний текст джерелаGrankvist, Ola. "Recognition and Registration of 3D Models in Depth Sensor Data." Thesis, Linköpings universitet, Datorseende, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-131452.
Повний текст джерелаSemmens, Stephen Bradley. "An Engineering Geological Investigation of the Seismic Subsoil Classes in the Central Wellington Commercial Area." Thesis, University of Canterbury. Geological Sciences, 2010. http://hdl.handle.net/10092/4287.
Повний текст джерелаHasnat, Md Abul. "Unsupervised 3D image clustering and extension to joint color and depth segmentation." Thesis, Saint-Etienne, 2014. http://www.theses.fr/2014STET4013/document.
Повний текст джерелаAccess to the 3D images at a reasonable frame rate is widespread now, thanks to the recent advances in low cost depth sensors as well as the efficient methods to compute 3D from 2D images. As a consequence, it is highly demanding to enhance the capability of existing computer vision applications by incorporating 3D information. Indeed, it has been demonstrated in numerous researches that the accuracy of different tasks increases by including 3D information as an additional feature. However, for the task of indoor scene analysis and segmentation, it remains several important issues, such as: (a) how the 3D information itself can be exploited? and (b) what is the best way to fuse color and 3D in an unsupervised manner? In this thesis, we address these issues and propose novel unsupervised methods for 3D image clustering and joint color and depth image segmentation. To this aim, we consider image normals as the prominent feature from 3D image and cluster them with methods based on finite statistical mixture models. We consider Bregman Soft Clustering method to ensure computationally efficient clustering. Moreover, we exploit several probability distributions from directional statistics, such as the von Mises-Fisher distribution and the Watson distribution. By combining these, we propose novel Model Based Clustering methods. We empirically validate these methods using synthetic data and then demonstrate their application for 3D/depth image analysis. Afterward, we extend these methods to segment synchronized 3D and color image, also called RGB-D image. To this aim, first we propose a statistical image generation model for RGB-D image. Then, we propose novel RGB-D segmentation method using a joint color-spatial-axial clustering and a statistical planar region merging method. Results show that, the proposed method is comparable with the state of the art methods and requires less computation time. Moreover, it opens interesting perspectives to fuse color and geometry in an unsupervised manner. We believe that the methods proposed in this thesis are equally applicable and extendable for clustering different types of data, such as speech, gene expressions, etc. Moreover, they can be used for complex tasks, such as joint image-speech data analysis
Nosjean, Nicolas. "Management et intégration des risques et incertitudes pour le calcul de volumes de roches et de fluides au sein d’un réservoir, zoom sur quelques techniques clés d’exploration Integrated Post-stack Acoustic Inversion Case Study to Enhance Geological Model Description of Upper Ordovicien Statics : from imaging to interpretation pitfalls and an efficient way to overcome them Improving Upper Ordovician reservoir characterization - an Algerian case study Tracking Fracture Corridors in Tight Gas Reservoirs : An Algerian Case Study Integrated sedimentological case study of glacial Ordovician reservoirs in the Illizi Basin, Algeria A Case Study of a New Time-Depth Conversion Workflow Designed for Optimizing Recovery Proper Systemic Knowledge of Reservoir Volume Uncertainties in Depth Conversion Integration of Fault Location Uncertainty in Time to Depth Conversion Emergence of edge scenarios in uncertainty studies for reservoir trap analysis Enhancing geological model with the use of Spectral Decomposition - A case study of a prolific stratigraphic play in North Viking Graben, Norway Fracture corridor identification through 3D multifocusing to improve well deliverability, an Algerian tight reservoir case study Geological Probability Of Success Assessment for Amplitude-Driven Prospects, A Nile Delta Case Study." Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPASS085.
Повний текст джерелаIn the last 20 years, I have been conducting various research projects focused on the management of risks and uncertainties in the petroleum exploration domain. The various research projects detailed in this thesis are dealing with problematics located throughout the whole Exploration and Production chain, from seismic acquisition and processing, until the optimal exploration to development wells placement. Focus is made on geophysical risks and uncertainties, where these problematics are the most pronounced and paradoxically the less worked in the industry. We can subdivide my research projects into tree main axes, which are following the hydrocarbon exploration process, namely: seismic processing, seismic interpretation thanks to the integration with various well informations, and eventually the analysis and extraction of key uncertainties, which will be the basis for the optimal calculation of in place and recoverable volumes, in addition to the associated risk analysis on a given target structure. The various research projects that are detailed in this thesis have been applied successfully on operational North Africa and North Sea projects. After introducing risks and uncertainty notions, we will detail the exploration process and the key links with these issues. I will then present four major research projects with their theoretical aspects and applied case study on an Algerian asset
Частини книг з теми "3D Depth Model"
Lin, Jun-Yang, May-Fang She, Ming-Han Tsai, I.-Chen Lin, Yo-Chung Lau, and Hsu-Hang Liu. "3D Articulated Model Retrieval Using Depth Image Input." In Communications in Computer and Information Science, 25–47. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26756-8_2.
Повний текст джерелаGolyanik, Vladislav. "Coherent Depth Fields with High Dimensional Space Model." In Robust Methods for Dense Monocular Non-Rigid 3D Reconstruction and Alignment of Point Clouds, 135–64. Wiesbaden: Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-30567-3_6.
Повний текст джерелаLi, Chunhua, Ping An, Liquan Shen, Kai Li, and Jian Ma. "A Modified Just Noticeable Depth Difference Model for 3D Displays." In Communications in Computer and Information Science, 63–71. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4211-9_7.
Повний текст джерелаSanfeliu, A., M. Añaños, and M. J. Dunjó. "Integrating Driving Model and Depth for Identification of Partially Occluded 3D Models." In Multisensor Fusion for Computer Vision, 195–211. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-662-02957-2_12.
Повний текст джерелаMao, Z., and A. J. Naftel. "3D Image Analysis of Facial Shape Changes Using Depth from Stereo." In Noblesse Workshop on Non-Linear Model Based Image Analysis, 283–88. London: Springer London, 1998. http://dx.doi.org/10.1007/978-1-4471-1597-7_44.
Повний текст джерелаPark, Jiyoung, Hye-Jin Park, and Myoung-Hee Kim. "Stereoscopic 3D Model Viewer with Improved Depth Perception for Battlefield Visualization." In Advanced Methods, Techniques, and Applications in Modeling and Simulation, 377–84. Tokyo: Springer Japan, 2012. http://dx.doi.org/10.1007/978-4-431-54216-2_41.
Повний текст джерелаMaki, Naoto, Shohei Nakamura, Shigeru Takano, and Yoshihiro Okada. "3D Model Generation of Cattle Using Multiple Depth-Maps for ICT Agriculture." In Advances in Intelligent Systems and Computing, 768–77. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61566-0_72.
Повний текст джерелаSinger, David, Dorian Rohner, and Dominik Henrich. "Robot-Based Creation of Complete 3D Workpiece Models." In Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2021, 289–99. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-74032-0_24.
Повний текст джерелаNeklyudov, Dmitry, Kirill Gadylshin, and Maxim Protasov. "Parallel Implementation of Fast 3D Travel Time Tomography for Depth-Velocity Model Building in Seismic Exploration Problems." In Lecture Notes in Computer Science, 237–49. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-22941-1_17.
Повний текст джерелаCaron, Guillaume, Mounya Belghiti, and Anthony Dessaux. "3D Model-Based Tracking of Puppet in Depth Images for the Dynamic Video-Mapping of Its Suit." In Optoelectronic Devices in Robotic Systems, 1–21. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09791-1_1.
Повний текст джерелаТези доповідей конференцій з теми "3D Depth Model"
F. Jones, I. "Iterative 3D Depth Model Building via One-Pass 3D Depth Migration." In EAEG/SEG Summer Workshop - Construction of 3-D Macro Velocity-Depth Models. European Association of Geoscientists & Engineers, 1994. http://dx.doi.org/10.3997/2214-4609.201407571.
Повний текст джерелаKoren, Z., R. Strahilevitz, and D. Kosloff. "True Amplitude 3D Model Based Migration." In EAGE/SEG Workshop - Depth Imaging of Reservoir Attributes. European Association of Geoscientists & Engineers, 1998. http://dx.doi.org/10.3997/2214-4609.201406685.
Повний текст джерелаKosloff, D., Z. Koren, U. Zakhem, R. Strahilevitz, and R. Weinshel. "3D Model Based Strategy for Subsurface Parameter Determination." In EAGE/SEG Workshop - Depth Imaging of Reservoir Attributes. European Association of Geoscientists & Engineers, 1998. http://dx.doi.org/10.3997/2214-4609.201406678.
Повний текст джерелаProbst, Thomas, Andrea Fossati, Mathieu Salzmann, and Luc Van Gool. "Efficient Model-Free Anthropometry from Depth Data." In 2017 International Conference on 3D Vision (3DV). IEEE, 2017. http://dx.doi.org/10.1109/3dv.2017.00062.
Повний текст джерелаW. Fagin, S., A. Litvin, and A. Brown. "3D Model-Based Time Gather Velocity Analysis." In EAEG/SEG Summer Workshop - Construction of 3-D Macro Velocity-Depth Models. European Association of Geoscientists & Engineers, 1994. http://dx.doi.org/10.3997/2214-4609.201407570.
Повний текст джерелаEtgen, J., and T. Kunz. "The 3D SEG Salt Model - Dreams and Reality." In EAEG/SEG Summer Workshop - Construction of 3-D Macro Velocity-Depth Models. European Association of Geoscientists & Engineers, 1994. http://dx.doi.org/10.3997/2214-4609.201407597.
Повний текст джерелаCognot, R., P. Lavest, F. Bosquet, and J. L. Mallet. "Generating a 3D Velocity Model - the GOCAD Approach." In EAEG/SEG Summer Workshop - Construction of 3-D Macro Velocity-Depth Models. European Association of Geoscientists & Engineers, 1994. http://dx.doi.org/10.3997/2214-4609.201407586.
Повний текст джерелаOperto, S., G. Lambaré, P. Podvin, and P. Thierry. "Removing Acquisition Footprint on 3D Ray-Born Inversion of the Overthrust Model." In EAGE/SEG Workshop - Depth Imaging of Reservoir Attributes. European Association of Geoscientists & Engineers, 1998. http://dx.doi.org/10.3997/2214-4609.201406707.
Повний текст джерелаRoth, M., D. Kessler, and D. M. Sibley. "3D Velocity Model Building - an Accurate and Efficient Interpretive Workflow." In EAEG/SEG Summer Workshop - Construction of 3-D Macro Velocity-Depth Models. European Association of Geoscientists & Engineers, 1994. http://dx.doi.org/10.3997/2214-4609.201407572.
Повний текст джерелаHinkley, D., R. Ho, and S. Lee. "Velocity Model Building for 3D Pre-Stack Depth Migration - a Case Study." In EAEG/SEG Summer Workshop - Construction of 3-D Macro Velocity-Depth Models. European Association of Geoscientists & Engineers, 1994. http://dx.doi.org/10.3997/2214-4609.201407588.
Повний текст джерелаЗвіти організацій з теми "3D Depth Model"
Chapman, Ray, Phu Luong, Sung-Chan Kim, and Earl Hayter. Development of three-dimensional wetting and drying algorithm for the Geophysical Scale Transport Multi-Block Hydrodynamic Sediment and Water Quality Transport Modeling System (GSMB). Engineer Research and Development Center (U.S.), July 2021. http://dx.doi.org/10.21079/11681/41085.
Повний текст джерелаPlourde, A. P., and J. F. Cassidy. Mapping tectonic stress at subduction zones with earthquake focal mechanisms: application to Cascadia, Japan, Nankai, Mexico, and northern Chile. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330943.
Повний текст джерелаde Caritat, Patrice, Brent McInnes, and Stephen Rowins. Towards a heavy mineral map of the Australian continent: a feasibility study. Geoscience Australia, 2020. http://dx.doi.org/10.11636/record.2020.031.
Повний текст джерелаNUMERICAL STUDY ON SHEAR BEHAVIOUR OF ENHANCED C-CHANNELS IN STEEL-UHPC-STEEL SANDWICH STRUCTURES. The Hong Kong Institute of Steel Construction, September 2021. http://dx.doi.org/10.18057/ijasc.2021.17.3.4.
Повний текст джерела