Gotowa bibliografia na temat „Outdoor scene analysis”
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Artykuły w czasopismach na temat "Outdoor scene analysis"
Ruan, Ling, Ling Zhang, Yi Long i Fei Cheng. "Coordinate references for the indoor/outdoor seamless positioning". Proceedings of the ICA 1 (16.05.2018): 1–7. http://dx.doi.org/10.5194/ica-proc-1-97-2018.
Pełny tekst źródłaKilawati, Andi, i Rosmalah Yanti. "Hubungan Outdor Activity dengan Scene Setting dalam Skill Mengajar Pembelajaran IPA Mahasiswa PGSD Universitas Cokroaminoto Palopo". Cokroaminoto Journal of Primary Education 2, nr 1 (30.04.2019): 6–10. http://dx.doi.org/10.30605/cjpe.122019.100.
Pełny tekst źródłaMusel, Benoit, Louise Kauffmann, Stephen Ramanoël, Coralie Giavarini, Nathalie Guyader, Alan Chauvin i Carole Peyrin. "Coarse-to-fine Categorization of Visual Scenes in Scene-selective Cortex". Journal of Cognitive Neuroscience 26, nr 10 (październik 2014): 2287–97. http://dx.doi.org/10.1162/jocn_a_00643.
Pełny tekst źródłaCHAN, K. L. "VIDEO-BASED GAIT ANALYSIS BY SILHOUETTE CHAMFER DISTANCE AND KALMAN FILTER". International Journal of Image and Graphics 08, nr 03 (lipiec 2008): 383–418. http://dx.doi.org/10.1142/s0219467808003155.
Pełny tekst źródłaTylecek, Radim, i Robert Fisher. "Consistent Semantic Annotation of Outdoor Datasets via 2D/3D Label Transfer". Sensors 18, nr 7 (12.07.2018): 2249. http://dx.doi.org/10.3390/s18072249.
Pełny tekst źródłaBielecki, Andrzej, i Piotr Śmigielski. "Three-Dimensional Outdoor Analysis of Single Synthetic Building Structures by an Unmanned Flying Agent Using Monocular Vision". Sensors 21, nr 21 (1.11.2021): 7270. http://dx.doi.org/10.3390/s21217270.
Pełny tekst źródłaKuhnert, Lars, i Klaus-Dieter Kuhnert. "Sensor-Fusion Based Real-Time 3D Outdoor Scene Reconstruction and Analysis on a Moving Mobile Outdoor Robot". KI - Künstliche Intelligenz 25, nr 2 (9.02.2011): 117–23. http://dx.doi.org/10.1007/s13218-011-0093-z.
Pełny tekst źródłaOo, Thanda, Hiroshi Kawasaki, Yutaka Ohsawa i Katsushi Ikeuchi. "Separation of Reflection and Transparency Based on Spatiotemporal Analysis for Outdoor Scene". IPSJ Digital Courier 2 (2006): 428–40. http://dx.doi.org/10.2197/ipsjdc.2.428.
Pełny tekst źródłaHe, Wei. "Research on Outdoor Garden Scene Reconstruction Based on PMVS Algorithm". Scientific Programming 2021 (24.11.2021): 1–10. http://dx.doi.org/10.1155/2021/4491382.
Pełny tekst źródłaAngsuwatanakul, Thanate, Jamie O’Reilly, Kajornvut Ounjai, Boonserm Kaewkamnerdpong i Keiji Iramina. "Multiscale Entropy as a New Feature for EEG and fNIRS Analysis". Entropy 22, nr 2 (7.02.2020): 189. http://dx.doi.org/10.3390/e22020189.
Pełny tekst źródłaRozprawy doktorskie na temat "Outdoor scene analysis"
Hu, Sijie. "Deep multimodal visual data fusion for outdoor scenes analysis in challenging weather conditions". Electronic Thesis or Diss., université Paris-Saclay, 2023. http://www.theses.fr/2023UPAST121.
Pełny tekst źródłaMulti-modal visual data can provide different information about the same scene, thus enhancing the accuracy and robustness of scene analysis. This thesis mainly focuses on how to effectively utilize multi-modal visual data such as color images, infrared images, and depth images, and how to fuse these visual data for a more comprehensive understanding of the environment. Semantic segmentation and object detection, two representative computer vision tasks, were selected for investigating and verifying different multi-modal visual data fusion methods. Then, we propose an additive-attention-based RGB-D fusion scheme, considering the depth map as an auxiliary modality to provide additional geometric clues, and solving the high cost associated with self-attention. Considering the complexity of scene perception under low-light conditions, we designed a cross-fusion module that uses channel and spatial attention to explore the complementary information of visible-infrared image pairs, enhancing the system's perception of the environment. Additionally, we also researched the application of multi-modal visual data in unsupervised domain adaptation. We proposed to leverage depth cues to guide the model to learn domain-invariant feature representation. Extensive research results indicate that the proposed methods outperform others on multiple publicly available multi-modal datasets and can be extended to different types of models, which further demonstrating the robustness and generalization capabilities of our methods in outdoor scene perception tasks
Książki na temat "Outdoor scene analysis"
Dellaert, Frank, Jan-Michael Frahm, Marc Pollefeys, Laura Leal-Taixé i Bodo Rosenhahn, red. Outdoor and Large-Scale Real-World Scene Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34091-8.
Pełny tekst źródłaJan-Michael, Frahm, Pollefeys Marc, Leal-Taixé Laura, Rosenhahn Bodo i SpringerLink (Online service), red. Outdoor and Large-Scale Real-World Scene Analysis: 15th International Workshop on Theoretical Foundations of Computer Vision, Dagstuhl Castle, Germany, June 26 - July 1, 2011. Revised Selected Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.
Znajdź pełny tekst źródłaPollefeys, Marc, Frank Dellaert, Bodo Rosenhahn, Laura Leal-Taixé i Jan-Michael Frahm. Outdoor and Large-Scale Real-World Scene Analysis: 15th International Workshop on Theoretical Foundations of Computer Vision, Dagstuhl Castle, Germany, June 26 - July 1, 2011. Revised Selected Papers. Springer Berlin / Heidelberg, 2012.
Znajdź pełny tekst źródłaCzęści książek na temat "Outdoor scene analysis"
Payne, Andrew, i Sameer Singh. "A Benchmark for Indoor/Outdoor Scene Classification". W Pattern Recognition and Image Analysis, 711–18. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11552499_78.
Pełny tekst źródłaPillai, Ignazio, Riccardo Satta, Giorgio Fumera i Fabio Roli. "Exploiting Depth Information for Indoor-Outdoor Scene Classification". W Image Analysis and Processing – ICIAP 2011, 130–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24088-1_14.
Pełny tekst źródłaSato, Tomokazu, Masayuki Kanbara i Naokazu Yokoya. "3-D Modeling of an Outdoor Scene from Multiple Image Sequences by Estimating Camera Motion Parameters". W Image Analysis, 717–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-45103-x_95.
Pełny tekst źródłaTrinh, Hoang-Hon, Dae-Nyeon Kim, Suk-Ju Kang i Kang-Hyun Jo. "Building-Based Structural Data for Core Functions of Outdoor Scene Analysis". W Emerging Intelligent Computing Technology and Applications, 625–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04070-2_68.
Pełny tekst źródłaAncuti, Codruta Orniana, Cosmin Ancuti i Philippe Bekaert. "Single Image Restoration of Outdoor Scenes". W Computer Analysis of Images and Patterns, 245–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23678-5_28.
Pełny tekst źródłaStreszczenia konferencji na temat "Outdoor scene analysis"
Seon Joo Kim, Jan-Michael Frahm i Marc Pollefeys. "Radiometric calibration with illumination change for outdoor scene analysis". W 2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2008. http://dx.doi.org/10.1109/cvpr.2008.4587648.
Pełny tekst źródłaLawton, Teri B. "Dynamic object-oriented scene analysis based on computational neurobiology". W OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/oam.1991.wj5.
Pełny tekst źródłaHaga, T., K. Sumi i Y. Yagi. "Human detection in outdoor scene using spatio-temporal motion analysis". W Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. IEEE, 2004. http://dx.doi.org/10.1109/icpr.2004.1333770.
Pełny tekst źródłaJinghua Ding, Sumana Das, Syed A. A. Kazmi, Navrati Saxena i Syed Faraz Hasan. "An outdoor assessment of scene analysis for Wi-Fi based positioning". W 2014 IEEE 3rd Global Conference on Consumer Electronics (GCCE). IEEE, 2014. http://dx.doi.org/10.1109/gcce.2014.7031095.
Pełny tekst źródłaOkutani, Keita, Takami Yoshida, Keisuke Nakamura i Kazuhiro Nakadai. "Outdoor auditory scene analysis using a moving microphone array embedded in a quadrocopter". W 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2012). IEEE, 2012. http://dx.doi.org/10.1109/iros.2012.6385994.
Pełny tekst źródłaSun, Xiaotian. "The smell of the scene - Mapping the digital smell of scenes around Beijing". W 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001777.
Pełny tekst źródłaVrsnak, Donik, Ilija Domislovic, Marko Subasic i Sven Loncaric. "Illuminant estimation error detection for outdoor scenes using transformers". W 2021 12th International Symposium on Image and Signal Processing and Analysis (ISPA). IEEE, 2021. http://dx.doi.org/10.1109/ispa52656.2021.9552045.
Pełny tekst źródłaHuang, Hun, Ge Gao, Ziyi Ke, Cheng Peng i Ming Gu. "A Multi-Scenario Crowd Data Synthesis Based On Building Information Modeling". W The 29th EG-ICE International Workshop on Intelligent Computing in Engineering. EG-ICE, 2022. http://dx.doi.org/10.7146/aul.455.c223.
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