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A. Pujol, Jordi Vitria, Petia Radeva, Xavier Binefa, Robert Benavente, Ernest Valveny, et al. (1999). Real time pharmaceutical product recognition using color and shape indexing. In Proceedings of the 2nd International Workshop on European Scientific and Industrial Collaboration (WESIC´99), Promotoring Advanced Technologies in Manufacturing..
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A. Martinez, & Jordi Vitria. (1997). From Visual Scanning to Object Recognition. In (SNRFAI’97) 7th Spanish National Symposium on Pattern Recognition and Image Analysis..
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V. Valev, & Petia Radeva. (1994). Structural Pattern Recognition by Non-Reducible Descriptors. In Proc. International Workshop on Syntactic and Structural Pattern Recognition..
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F. Javier Sanchez, & Jordi Vitria. (1994). ViLi + : Extended Lisp for image Processing and Computer Vision. In S.Impedovo (Ed.), Progress in Image Analysis and Processing III. World Scientific.
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Joan Serrat, J. Argemi, & Juan J. Villanueva. (1991). Automatization of TW2 method using a knowledge-based image analysis system. In VIth International Congress of Auxology..
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A. Dupuy, Joan Serrat, Jordi Vitria, & J. Pladellorens. (1991). Analysis of gammagraphic images by mathematical morphology. In Pattern Recognition and image Analysis: IV Spanish Symposium of Pattern Recognition and image Analysis, World Scientific Pub..
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Joan Serrat, Jordi Vitria, & J. Pladellorens. (1991). Morphological Segmentation of Heart Scintigraphic image Sequences. In Computer Assisted Radiology..
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Francesc Tous, Agnes Borras, Robert Benavente, Ramon Baldrich, Maria Vanrell, & Josep Llados. (2002). Textual Descriptors for browsing people by visual appearence. In 5è. Congrés Català d’Intel·ligència Artificial CCIA.
Abstract: This paper presents a first approach to build colour and structural descriptors for information retrieval on a people database. Queries are formulated in terms of their appearance that allows to seek people wearing specific clothes of a given colour name or texture. Descriptors are automatically computed by following three essential steps. A colour naming labelling from pixel properties. A region seg- mentation step based on colour properties of pixels combined with edge information. And a high level step that models the region arrangements in order to build clothes structure. Results are tested on large set of images from real scenes taken at the entrance desk of a building.
Keywords: Image retrieval, textual descriptors, colour naming, colour normalization, graph matching.
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Fernando Vilariño, & Petia Radeva. (2002). Patch-Optimized Discriminant Active Contours for Medical Image Segmentation. In Iberoamerican Conference on Artificial Intelligence. Springer Verlag.
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Agnes Borras, Francesc Tous, Josep Llados, & Maria Vanrell. (2003). High-Level Clothes Description Based on Colour-Texture and Structural Features. In 1rst. Iberian Conference on Pattern Recognition and Image Analysis IbPRIA 2003.
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Judit Martinez, Eva Costa, P. Herreros, Antonio Lopez, & Juan J. Villanueva. (2003). TV-Screen Quality Inspection by Artificial Vision. In Proceedings SPIE 5132, Sixth International Conference on Quality Control by Artificial Vision (QCAV 2003).
Abstract: A real-time vision system for TV screen quality inspection is introduced. The whole system consists of eight cameras and one processor per camera. It acquires and processes 112 images in 6 seconds. The defects to be inspected can be grouped into four main categories (bubble, line-out, line reduction and landing) although there exists a large variability among each particular type of defect. The complexity of the whole inspection process has been reduced by dividing images into smaller ones and grouping the defects into frequency and intensity relevant ones. Tools such as mathematical morphology, Fourier transform, profile analysis and classification have been used. The performance of the system has been successfully proved against human operators in normal production conditions.
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Angel Sappa, & M.A. Garcia. (2004). Hierarchical Clustering of 3D Objects and its Application to Minimum Distance Computation. In IEEE International Conference on Robotics & Automation, 5287–5292, New Orleans, LA (USA), ISBN: 0–7803–8232–3.
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Angel Sappa, & Boris X. Vintimilla. (2006). Edge Point Linking by Means of Global and Local Schemes. In IEEE Int. Conf. on Signal-Image Technology and Internet-Based Systems, Hammamet, Tunisia, December 2006, pp. 551-560..
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German Ros, J. Guerrero, Angel Sappa, Daniel Ponsa, & Antonio Lopez. (2013). Fast and Robust l1-averaging-based Pose Estimation for Driving Scenarios. In 24th British Machine Vision Conference.
Abstract: Robust visual pose estimation is at the core of many computer vision applications, being fundamental for Visual SLAM and Visual Odometry problems. During the last decades, many approaches have been proposed to solve these problems, being RANSAC one of the most accepted and used. However, with the arrival of new challenges, such as large driving scenarios for autonomous vehicles, along with the improvements in the data gathering frameworks, new issues must be considered. One of these issues is the capability of a technique to deal with very large amounts of data while meeting the realtime
constraint. With this purpose in mind, we present a novel technique for the problem of robust camera-pose estimation that is more suitable for dealing with large amount of data, which additionally, helps improving the results. The method is based on a combination of a very fast coarse-evaluation function and a robust ℓ1-averaging procedure. Such scheme leads to high-quality results while taking considerably less time than RANSAC.
Experimental results on the challenging KITTI Vision Benchmark Suite are provided, showing the validity of the proposed approach.
Keywords: SLAM
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Francisco Javier Orozco, F.A. Garcia, J.L. Arcos, & Jordi Gonzalez. (2007). Spatio-Temporal Reasoning for Reliable Facial Expression Interpretation. In Proceedings of the 5th International Conference on Computer Vision Systems.
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