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J. Nuñez, O. Fors, Xavier Otazu, Vicenç Pala, Roman Arbiol, & M.T. Merino. (2006). A Wavelet-Based Method for the Determination of the Relative Resolution Between Remotely Sensed Images. IEEE Transactions on Geoscience and Remote Sensing, 44(9): 2539–2548.
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Angel Sappa, David Geronimo, Fadi Dornaika, & Antonio Lopez. (2006). Real Time Vehicle Pose Using On-Board Stereo Vision System. In International Conference on Image Analysis and Recognition (205–216).
Abstract: This paper presents a robust technique for a real time estimation of both camera’s position and orientation—referred as pose. A commercial stereo vision system is used. Unlike previous approaches, it can be used either for urban or highway scenarios. The proposed technique consists of two stages. Initially, a compact 2D representation of the original 3D data points is computed. Then, a RANSAC based least squares approach is used for fitting a plane to the road. At the same time,
relative camera’s position and orientation are computed. The proposed technique is intended to be used on a driving assistance scheme for applications such as obstacle or pedestrian detection. Experimental results on urban environments with different road geometries are presented.
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V. Kober, Mikhail Mozerov, J. Alvarez-Borrego, & I.A. Ovseyevich. (2006). Adaptive Correlation Filters for Pattern Recognition. Pattern Recognition and Image Analysis, 425–431.
Abstract: Adaptive correlation filters based on synthetic discriminant functions (SDFs) for reliable pattern recognition are proposed. A given value of discrimination capability can be achieved by adapting a SDF filter to the input scene. This can be done by iterative training. Computer simulation results obtained with the proposed filters are compared with those of various correlation filters in terms of recognition performance.
Keywords: Pattern recognition, Correlation filters, A adaptive filters
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Mikhail Mozerov, & V. Kober. (2006). Impulse Noise Removal with Gradient Adaptive Neighborhoods. Optical Engineering, 45: 67003.
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E. Pastor, A. Agueda, Juan Andrade, M. Muñoz, Y. Perez, & E. Planas. (2006). Computing the rate of spread of linear flame fronts by thermal image processing. Fire Safety Journal, 41(8):569–579.
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Jaume Amores. (2013). Multiple Instance Classification: review, taxonomy and comparative study. AI - Artificial Intelligence, 201, 81–105.
Abstract: Multiple Instance Learning (MIL) has become an important topic in the pattern recognition community, and many solutions to this problemhave been proposed until now. Despite this fact, there is a lack of comparative studies that shed light into the characteristics and behavior of the different methods. In this work we provide such an analysis focused on the classification task (i.e.,leaving out other learning tasks such as regression). In order to perform our study, we implemented
fourteen methods grouped into three different families. We analyze the performance of the approaches across a variety of well-known databases, and we also study their behavior in synthetic scenarios in order to highlight their characteristics. As a result of this analysis, we conclude that methods that extract global bag-level information show a clearly superior performance in general. In this sense, the analysis permits us to understand why some types of methods are more successful than others, and it permits us to establish guidelines in the design of new MIL
methods.
Keywords: Multi-instance learning; Codebook; Bag-of-Words
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Anton Cervantes, Gemma Sanchez, Josep Llados, Agnes Borras, & Ana Rodriguez. (2006). Biometric Recognition Based on Line Shape Descriptors. In Lecture Notes in Computer Science (Vol. 3926, 346–357,). Springer Link.
Abstract: Abstract. In this paper we propose biometric descriptors inspired by shape signatures traditionally used in graphics recognition approaches. In particular several methods based on line shape descriptors used to iden- tify newborns from the biometric information of the ears are developed. The process steps are the following: image acquisition, ear segmentation, ear normalization, feature extraction and identification. Several shape signatures are defined from contour images. These are formulated in terms of zoning and contour crossings descriptors. Experimental results are presented to demonstrate the effectiveness of the used techniques.
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Ernest Valveny, & Philippe Dosch. (2006). A general framework for the evaluation of symbol recognition methods. International Journal on Document Analysis and Recognition.
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Philippe Dosch, & Ernest Valveny. (2006). Report on the Second Symbol Recognition Contest. In Graphics Recognition: Ten Years Review and Future Perspectives, W. Liu, J. Llados (Eds.), LNCS 3926: 381–397.
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Alicia Fornes, Josep Llados, & Gemma Sanchez. (2006). Primitive Segmentation in Old Handwritten Music Scores. In Graphics Recognition: Ten Years Review and Future Perspectives, W. Liu, J. Llados (Eds.), LNCS 3926: 288–299.
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Carme Julia, Angel Sappa, Felipe Lumbreras, Joan Serrat, & Antonio Lopez. (2006). An Iterative Multiresolution Scheme for SFM. In International Conference on Image Analysis and Recognition (Vol. LNCS 4141, 804–815).
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Agata Lapedriza, David Masip, & Jordi Vitria. (2006). On the Use of External Face Features for Identity Verification. Journal of Multimedia, 1(4): 11–20, 11–20.
Abstract: In general automatic face classification applications images are captured in natural environments. In these cases, the performance is affected by variations in facial images related to illumination, pose, occlusion or expressions. Most of the existing face classification systems use only the internal features information, composed by eyes, nose and mouth, since they are more difficult to imitate. Nevertheless, nowadays a lot of applications not related to security are developed, and in these cases the information located at head, chin or ears zones (external features) can be useful to improve the current accuracies. However, the lack of a natural alignment in these areas makes difficult to extract these features applying classic Bottom-Up methods. In this paper, we propose a complete scheme based on a Top-Down reconstruction algorithm to extract external features of face images. To test our system we have performed face verification experiments using public databases, given that identity verification is a general task that has many real life applications. We have considered images uniformly illuminated, images with occlusions and images with high local changes in the illumination, and the obtained results show that the information contributed by the external features can be useful for verification purposes, specially significant when faces are partially occluded.
Keywords: Face Verification, Computer Vision, Machine Learning
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Joan Mas, Gemma Sanchez, & Josep Llados. (2006). An Incremental Parser to Recognize Diagram Symbols and Gestures represented by Adjacency Grammars.
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Oriol Ramos Terrades. (2006). Linear Combination of Multiresolution Descriptors: Application to Graphics Recognition (Salvatore Antoine Tabbone, & Ernest Valveny, Eds.). Ph.D. thesis, , .
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Bogdan Raducanu, & Jordi Vitria. (2006). A Robust Particle Filter-Based Face Tracker Using Combination of Color and Geometric Information. In International Conference on Image Analysis and Recognition (ICIAR´06), LNCS 4141 (A. Campilho et al., eds.), 1: 922–933.
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