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Representing and retrieving regions using binary partition trees. In 1999 IEEE International Conference on Image Processing, ICIP 1999. Kobe, Japan; 1999. (140.31 KB)
. Multimodal solid-state LiDAR for advanced perception applications. In OPTOEL. 2021.
. Geometric Model and Calibration Method for a Solid-State LiDAR. Sensors. 2020;20(10):2898.
. Multimodal imaging System based on sòlid-State LiDAR for Advanced perception applications. In 10th International Symposium on Optronics in defence & security. Versailles, France: 3AF OPTRO2022; 2022.
. Self-registered lidar and polarimetric images in real-time: application to detection of small objects at sea. In 7th Workshop on Active Imaging. Saint-Louis, France: French-German Research Institute of Saint-Louis (ISL); 2019.
. Extension of Instance Search Technique by Geometric Coding and Quantization Error Compensation. . 2013.
. Functionalities for mapping 2D images and 3D world objects in a Multicamera Environment. In 6th International Workshop on Image Analysis for Multimedia Interactive Services. 2005. (198.67 KB)
. Parametric Region-Based Foreground Segmentation in Planar and Multi-View Sequences. . Universitat Politècnica de Catalunya (UPC); 2013. (70.23 MB)
. Multiview Foreground Segmentation using 3D Probabilistic Model. In ICIP, IEEE International Conference on Image Processing. 2014. (2.38 MB)
. Joint multi-view foreground segmentation and 3D reconstruction with tolerance loop. In IEEE International Conference on Image Processing. 2011. pp. 997–1000.
. Robust 3D SFS reconstruction based on reliability maps. In ICIP, IEEE International Conference on Image Processing. 2014. (7.46 MB)
. Foreground objects segmentation for moving camera scenarios based on SCGMM. In Computational Intelligence for Multimedia Understanding. Berlin Heidelberg: Springer; 2012. pp. 195-206.
. Region Based Foreground Segmentation Combinig Color and Depth Sensors Via Logarithmic Opinion Pool Decision. Journal of Visual Communication and Image Representation. 2013;.
. Bayesian foreground segmentation and tracking using pixel-wise background model and region-based foreground model. In 16th IEEE International Conference on Image Processing. 2009. pp. 3205–3208.
. Enhanced foreground segmentation and tracking combining Bayesian background, shadow and foreground modeling. Pattern Recognition Letters. 2012;33(12):1558–1568.
. Segmentation and Tracking of Static and Moving Objects in Video Surveillance Scenarios. In IEEE International Conference on Image Processing. 2008. pp. 2716–2719.
. Enhanced bayesian foreground segmentation using brightness and color distortion region-based model for shadow removal. In 2010 IEEE International Conference on Image Processing. 2010. pp. 3449–3452.
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