Literatura científica selecionada sobre o tema "Outdoor scene analysis"
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Artigos de revistas sobre o assunto "Outdoor scene analysis"
Ruan, Ling, Ling Zhang, Yi Long e Fei Cheng. "Coordinate references for the indoor/outdoor seamless positioning". Proceedings of the ICA 1 (16 de maio de 2018): 1–7. http://dx.doi.org/10.5194/ica-proc-1-97-2018.
Texto completo da fonteKilawati, Andi, e Rosmalah Yanti. "Hubungan Outdor Activity dengan Scene Setting dalam Skill Mengajar Pembelajaran IPA Mahasiswa PGSD Universitas Cokroaminoto Palopo". Cokroaminoto Journal of Primary Education 2, n.º 1 (30 de abril de 2019): 6–10. http://dx.doi.org/10.30605/cjpe.122019.100.
Texto completo da fonteMusel, Benoit, Louise Kauffmann, Stephen Ramanoël, Coralie Giavarini, Nathalie Guyader, Alan Chauvin e Carole Peyrin. "Coarse-to-fine Categorization of Visual Scenes in Scene-selective Cortex". Journal of Cognitive Neuroscience 26, n.º 10 (outubro de 2014): 2287–97. http://dx.doi.org/10.1162/jocn_a_00643.
Texto completo da fonteCHAN, K. L. "VIDEO-BASED GAIT ANALYSIS BY SILHOUETTE CHAMFER DISTANCE AND KALMAN FILTER". International Journal of Image and Graphics 08, n.º 03 (julho de 2008): 383–418. http://dx.doi.org/10.1142/s0219467808003155.
Texto completo da fonteTylecek, Radim, e Robert Fisher. "Consistent Semantic Annotation of Outdoor Datasets via 2D/3D Label Transfer". Sensors 18, n.º 7 (12 de julho de 2018): 2249. http://dx.doi.org/10.3390/s18072249.
Texto completo da fonteBielecki, Andrzej, e Piotr Śmigielski. "Three-Dimensional Outdoor Analysis of Single Synthetic Building Structures by an Unmanned Flying Agent Using Monocular Vision". Sensors 21, n.º 21 (1 de novembro de 2021): 7270. http://dx.doi.org/10.3390/s21217270.
Texto completo da fonteKuhnert, Lars, e Klaus-Dieter Kuhnert. "Sensor-Fusion Based Real-Time 3D Outdoor Scene Reconstruction and Analysis on a Moving Mobile Outdoor Robot". KI - Künstliche Intelligenz 25, n.º 2 (9 de fevereiro de 2011): 117–23. http://dx.doi.org/10.1007/s13218-011-0093-z.
Texto completo da fonteOo, Thanda, Hiroshi Kawasaki, Yutaka Ohsawa e 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.
Texto completo da fonteHe, Wei. "Research on Outdoor Garden Scene Reconstruction Based on PMVS Algorithm". Scientific Programming 2021 (24 de novembro de 2021): 1–10. http://dx.doi.org/10.1155/2021/4491382.
Texto completo da fonteAngsuwatanakul, Thanate, Jamie O’Reilly, Kajornvut Ounjai, Boonserm Kaewkamnerdpong e Keiji Iramina. "Multiscale Entropy as a New Feature for EEG and fNIRS Analysis". Entropy 22, n.º 2 (7 de fevereiro de 2020): 189. http://dx.doi.org/10.3390/e22020189.
Texto completo da fonteTeses / dissertações sobre o assunto "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.
Texto completo da fonteMulti-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
Livros sobre o assunto "Outdoor scene analysis"
Dellaert, Frank, Jan-Michael Frahm, Marc Pollefeys, Laura Leal-Taixé e Bodo Rosenhahn, eds. 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.
Texto completo da fonteJan-Michael, Frahm, Pollefeys Marc, Leal-Taixé Laura, Rosenhahn Bodo e SpringerLink (Online service), eds. 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.
Encontre o texto completo da fontePollefeys, Marc, Frank Dellaert, Bodo Rosenhahn, Laura Leal-Taixé e 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.
Encontre o texto completo da fonteCapítulos de livros sobre o assunto "Outdoor scene analysis"
Payne, Andrew, e Sameer Singh. "A Benchmark for Indoor/Outdoor Scene Classification". In Pattern Recognition and Image Analysis, 711–18. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11552499_78.
Texto completo da fontePillai, Ignazio, Riccardo Satta, Giorgio Fumera e Fabio Roli. "Exploiting Depth Information for Indoor-Outdoor Scene Classification". In 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.
Texto completo da fonteSato, Tomokazu, Masayuki Kanbara e Naokazu Yokoya. "3-D Modeling of an Outdoor Scene from Multiple Image Sequences by Estimating Camera Motion Parameters". In Image Analysis, 717–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-45103-x_95.
Texto completo da fonteTrinh, Hoang-Hon, Dae-Nyeon Kim, Suk-Ju Kang e Kang-Hyun Jo. "Building-Based Structural Data for Core Functions of Outdoor Scene Analysis". In 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.
Texto completo da fonteAncuti, Codruta Orniana, Cosmin Ancuti e Philippe Bekaert. "Single Image Restoration of Outdoor Scenes". In 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.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Outdoor scene analysis"
Seon Joo Kim, Jan-Michael Frahm e Marc Pollefeys. "Radiometric calibration with illumination change for outdoor scene analysis". In 2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2008. http://dx.doi.org/10.1109/cvpr.2008.4587648.
Texto completo da fonteLawton, Teri B. "Dynamic object-oriented scene analysis based on computational neurobiology". In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/oam.1991.wj5.
Texto completo da fonteHaga, T., K. Sumi e Y. Yagi. "Human detection in outdoor scene using spatio-temporal motion analysis". In Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. IEEE, 2004. http://dx.doi.org/10.1109/icpr.2004.1333770.
Texto completo da fonteJinghua Ding, Sumana Das, Syed A. A. Kazmi, Navrati Saxena e Syed Faraz Hasan. "An outdoor assessment of scene analysis for Wi-Fi based positioning". In 2014 IEEE 3rd Global Conference on Consumer Electronics (GCCE). IEEE, 2014. http://dx.doi.org/10.1109/gcce.2014.7031095.
Texto completo da fonteOkutani, Keita, Takami Yoshida, Keisuke Nakamura e Kazuhiro Nakadai. "Outdoor auditory scene analysis using a moving microphone array embedded in a quadrocopter". In 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2012). IEEE, 2012. http://dx.doi.org/10.1109/iros.2012.6385994.
Texto completo da fonteSun, Xiaotian. "The smell of the scene - Mapping the digital smell of scenes around Beijing". In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001777.
Texto completo da fonteVrsnak, Donik, Ilija Domislovic, Marko Subasic e Sven Loncaric. "Illuminant estimation error detection for outdoor scenes using transformers". In 2021 12th International Symposium on Image and Signal Processing and Analysis (ISPA). IEEE, 2021. http://dx.doi.org/10.1109/ispa52656.2021.9552045.
Texto completo da fonteHuang, Hun, Ge Gao, Ziyi Ke, Cheng Peng e Ming Gu. "A Multi-Scenario Crowd Data Synthesis Based On Building Information Modeling". In The 29th EG-ICE International Workshop on Intelligent Computing in Engineering. EG-ICE, 2022. http://dx.doi.org/10.7146/aul.455.c223.
Texto completo da fonte