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Fernando Vilariño, & Petia Radeva. (2003). Cardiac Segmentation with Discriminant Active Contours. (211–217). IOS Press.
Abstract: Dynamic tracking of heart moving is one relevant target in medical imag- ing and can be helpful for analyzing heart dynamics in the study of several cardiac diseases. For this aim, a previous segmentation problem of such structures is stated, based on certain relevant features (like edges or intensity levels, textures, etc.) Clas- sical active models have been used, but they fail when overlapping structures or not well-defined contours are present. Automatic feature learning systems may be a pow- erful tool. Discriminant active contours present optimal results in this kind of problem. They are a kind of deformable models that converge to an optimal object segmenta- tion that dynamically adapts to the object contour. The feature space is designed from a filter bank in order to guarantee the search and learning of the set of relevant fea- tures for optimal classification on each part of the object. Tracking of target evolution is obtained through the whole set of images, using information from the actual and previous stages. Feedback systems are implemented to guarantee the minimum well- separable classification set in each segmentation step. Our implementation has been proved with several series of Magnetic Resonance with improved results in segmenta- tion in comparison to previous methods.
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Debora Gil, & Petia Radeva. (2003). Curvature Vector Flow to Assure Convergent Deformable Models for Shape Modelling. In B. Springer (Ed.), Energy Minimization Methods In Computer Vision And Pattern Recognition (Vol. 2683, pp. 357–372). LNCS. Lisbon, PORTUGAL: Springer, Berlin.
Abstract: Poor convergence to concave shapes is a main limitation of snakes as a standard segmentation and shape modelling technique. The gradient of the external energy of the snake represents a force that pushes the snake into concave regions, as its internal energy increases when new inexion points are created. In spite of the improvement of the external energy by the gradient vector ow technique, highly non convex shapes can not be obtained, yet. In the present paper, we develop a new external energy based on the geometry of the curve to be modelled. By tracking back the deformation of a curve that evolves by minimum curvature ow, we construct a distance map that encapsulates the natural way of adapting to non convex shapes. The gradient of this map, which we call curvature vector ow (CVF), is capable of attracting a snake towards any contour, whatever its geometry. Our experiments show that, any initial snake condition converges to the curve to be modelled in optimal time.
Keywords: Initial condition; Convex shape; Non convex analysis; Increase; Segmentation; Gradient; Standard; Standards; Concave shape; Flow models; Tracking; Edge detection; Curvature
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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 (Vol. 2652, pp. 108–116). LNCS.
Abstract: ecture Notes in Computer Science 2652 108–116
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David Guillamet, B. Moghaddam, & Jordi Vitria. (2003). Modeling High-Order Dependencies in Local Appearance Models. In 1rst. Iberian Conference on Pattern Recognition and Image Analysis IbPRIA 2003 (Vol. 2652, pp. 308–316). LNCS.
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David Guillamet, B. Moghaddam, & Jordi Vitria. (2003). Higher-Order Dependencies in Local Appearance Models. In IEEE International Conference on Image Processing (ICIP).
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David Guillamet, & Jordi Vitria. (2003). An Experimental Evaluation of K-nn for Linear Transforms of Positive Data. In 1rst. Iberian Conference on Pattern Recognition and Image Analysis IbPRIA 2003 (Vol. 2652, pp. 317–325). LNCS.
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David Lloret, Joan Serrat, Antonio Lopez, & Juan J. Villanueva. (2003). Ultrasound to MR Volume Registration for Brain Sinking Measurement. In 1rst. Iberian Conference on Pattern Recognition and Image Analysis IbPRIA 2003 (Vol. 2652, pp. 420–427). LNCS.
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David Masip, & Jordi Vitria. (2003). An Experimental Comparision of Dimensionality Reduction for Face Verification Methods. In 1rst. Iberian Conference on Pattern Recognition and Image Analysis IbPRIA 2003 (Vol. 2652, pp. 530–537). LNCS.
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David Masip, & Jordi Vitria. (2003). On the Nearest Neighbor Approach for Gender Recognition. In In I. Aguilo, Ll. Valverde M.T. Escrig, editors.Artificial Intelligence Research and Development. Proceedings of the International Conference of the Catalan Association for Artificial Intelligence" . (pp. 178–188). IOS PRESS.
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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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B. Moghaddam, David Guillamet, & Jordi Vitria. (2003). Local Appearance-Based Models using High-Order Statistics of Image Features. In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR).
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Daniel Ponsa, & Xavier Roca. (2003). Multiple Model Approach to Deformable Shape Tracking. In 1rst. Iberian Conference on Pattern Recognition and Image Analysis IbPRIA 2003 (Vol. 2652, pp. 782–792). LNCS.
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Angel Sappa, Niki Aifanti, Sotiris Malassiotis, & Michael G. Strintzis. (2003). Monocular 3D Human Body Reconstruction Towards Depth Augmentation of Television Sequences. In IEEE International Conference on Image Processing, Barcelona, Spain, September 2003 (pp. 325–328).
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Anna Salvatella, Maria Vanrell, & Ramon Baldrich. (2003). Subtexture Components for Texture Description. In 1rst. Iberian Conference on Pattern Recognition and Image Analysis IbPRIA 2003 (Vol. 2652, pp. 884–892). LNCS.
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Anna Salvatella, Maria Vanrell, & Juan J. Villanueva. (2003). Texture Description based on Subtexture Components, 3rd International Workshop on Texture Syntesis and Analysis. In 3rd International Workshop on Texture Synthesis and Analysis, (77–82).
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