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] . Gray-scale erosion algorithm based on image bitwise decomposition: application to focal plane processors. In IEEE International Conference on Acoustics, Speech and Signal Processing 2009. 2009. pp. 845–848.
. Parametric Region-Based Foreground Segmentation in Planar and Multi-View Sequences. . Universitat Politècnica de Catalunya (UPC); 2013. 
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(70.23 MB). 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.
. Foreground objects segmentation for moving camera scenarios based on SCGMM. In Computational Intelligence for Multimedia Understanding. Berlin Heidelberg: Springer; 2012. pp. 195-206.
. Segmentation and Tracking of Static and Moving Objects in Video Surveillance Scenarios. In IEEE International Conference on Image Processing. 2008. pp. 2716–2719.
. Enhanced foreground segmentation and tracking combining Bayesian background, shadow and foreground modeling. Pattern Recognition Letters. 2012;33(12):1558–1568.
. Multiview Foreground Segmentation using 3D Probabilistic Model. In ICIP, IEEE International Conference on Image Processing. 2014. (2.38 MB)
(2.38 MB). 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.
. Robust 3D SFS reconstruction based on reliability maps. In ICIP, IEEE International Conference on Image Processing. 2014. (7.46 MB)
(7.46 MB). Joint multi-view foreground segmentation and 3D reconstruction with tolerance loop. In IEEE International Conference on Image Processing. 2011. pp. 997–1000.
. Region Based Foreground Segmentation Combinig Color and Depth Sensors Via Logarithmic Opinion Pool Decision. Journal of Visual Communication and Image Representation. 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)
(198.67 KB). Extension of Instance Search Technique by Geometric Coding and Quantization Error Compensation. . 2013.
. Development of a multimodal imaging system based on LIDAR. . Optics and Optometry Department. Universitat Politècnica de Catalunya; 2021.
. 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. (3.37 MB)
(3.37 MB). 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.
. A framework for the retrieval of multiple regions using Binary Partition Trees and low level descriptors. In 11th European Signal Processing Conference, EUSIPCO 2002. Toulouse, France; 2002. pp. 512–516. (277.78 KB)
(277.78 KB). Motion analysis of image sequences using connected operators. In SPIE Visual Communications and Image Processing, VCIP'97. San Jose, CA, USA; 1997. pp. 546–557. (271.86 KB)
(271.86 KB). Anti-extensive Connected Operators with Application to Image Sequences. In VII Simposium Nacional de Reconocimiento de Formas y Análisis de Imágenes. Barcelona, Spain; 1997. pp. 151–156. (228.46 KB)
(228.46 KB). A hierarchical technique for image sequence analysis. In Workshop on Image Analysis for Multimedia Application Services, WIAMIS'97. Louvain-la-Neuve, Belgium; 1997. pp. 13–20. (182.34 KB)
(182.34 KB). Extensive Operators in Partition Lattices for Image Sequence Analysis. Signal processing. 1998;66:157–180. (612.87 KB)
(612.87 KB). Representing and retrieving regions using binary partition trees. In 1999 IEEE International Conference on Image Processing, ICIP 1999. Kobe, Japan; 1999. (140.31 KB)
(140.31 KB). Hierarchical Region Based Processing of Images and Video Sequences: Application to Filtering, Segmentation and Information Retrieval. . Universitat Politècnica de Catalunya (UPC); 2002.