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Alicia Fornes, Sergio Escalera, Josep Llados and Ernest Valveny. 2010. Symbol Classification using Dynamic Aligned Shape Descriptor. 20th International Conference on Pattern Recognition.1957–1960.
Abstract: Shape representation is a difficult task because of several symbol distortions, such as occlusions, elastic deformations, gaps or noise. In this paper, we propose a new descriptor and distance computation for coping with the problem of symbol recognition in the domain of Graphical Document Image Analysis. The proposed D-Shape descriptor encodes the arrangement information of object parts in a circular structure, allowing different levels of distortion. The classification is performed using a cyclic Dynamic Time Warping based method, allowing distortions and rotation. The methodology has been validated on different data sets, showing very high recognition rates.
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Agata Lapedriza, Jaume Garcia, Ernest Valveny, Robert Benavente, Miquel Ferrer and Gemma Sanchez. 2008. Una experiencia de aprenentatge basada en projectes en el ambit de la informatica.
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A. Pujol and 6 others. 1999. Real time pharmaceutical product recognition using color and shape indexing. Proceedings of the 2nd International Workshop on European Scientific and Industrial Collaboration (WESIC´99), Promotoring Advanced Technologies in Manufacturing..
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Ricardo Toledo, Ramon Baldrich, Ernest Valveny and Petia Radeva. 2002. Enhancing snakes for vessel detection in angiography images..
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Jordi Vitria and 6 others. 1999. Real time recognition of pharmaceutical products by subspace methods.
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Dena Bazazian, Dimosthenis Karatzas and Andrew Bagdanov. 2018. Word Spotting in Scene Images based on Character Recognition. IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops.1872–1874.
Abstract: In this paper we address the problem of unconstrained Word Spotting in scene images. We train a Fully Convolutional Network to produce heatmaps of all the character classes. Then, we employ the Text Proposals approach and, via a rectangle classifier, detect the most likely rectangle for each query word based on the character attribute maps. We evaluate the proposed method on ICDAR2015 and show that it is capable of identifying and recognizing query words in natural scene images.
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Robert Benavente, Gemma Sanchez, Ramon Baldrich, Maria Vanrell and Josep Llados. 2000. Normalized colour segmentation for human appearance description. 15 th International Conference on Pattern Recognition.637–641.
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Agnes Borras, Francesc Tous, Josep Llados and Maria Vanrell. 2003. High-Level Clothes Description Based on Color-Texture and Structural Features. Lecture Notes in Computer Science.108–116.
Abstract: This work is a part of a surveillance system where content- based image retrieval is done in terms of people appearance. Given an image of a person, our work provides an automatic description of his clothing according to the colour, texture and structural composition of its garments. We present a two-stage process composed by image segmentation and a region-based interpretation. We segment an image by modelling it due to an attributed graph and applying a hybrid method that follows a split-and-merge strategy. We propose the interpretation of five cloth combinations that are modelled in a graph structure in terms of region features. The interpretation is viewed as a graph matching with an associated cost between the segmentation and the cloth models. Fi- nally, we have tested the process with a ground-truth of one hundred images.
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Agnes Borras, Francesc Tous, Josep Llados and Maria Vanrell. 2003. High-Level Clothes Description Based on Colour-Texture and Structural Features. 1rst. Iberian Conference on Pattern Recognition and Image Analysis IbPRIA 2003.
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Ramon Baldrich, Ricardo Toledo, Ernest Valveny and Maria Vanrell. 2002. Perceptual Colour Image Segmentation..
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