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| Author |
Shida Beigpour; Marc Serra; Joost Van de Weijer; Robert Benavente; Maria Vanrell; Olivier Penacchio; Dimitris Samaras |
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| Title |
Intrinsic Image Evaluation On Synthetic Complex Scenes |
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Conference Article |
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2013 |
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20th IEEE International Conference on Image Processing |
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285 - 289 |
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| Abstract |
Scene decomposition into its illuminant, shading, and reflectance intrinsic images is an essential step for scene understanding. Collecting intrinsic image groundtruth data is a laborious task. The assumptions on which the ground-truth
procedures are based limit their application to simple scenes with a single object taken in the absence of indirect lighting and interreflections. We investigate synthetic data for intrinsic image research since the extraction of ground truth is straightforward, and it allows for scenes in more realistic situations (e.g, multiple illuminants and interreflections). With this dataset we aim to motivate researchers to further explore intrinsic image decomposition in complex scenes. |
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Melbourne; Australia; September 2013 |
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CIC; 600.048; 600.052; 600.051 |
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Admin @ si @ BSW2013 |
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2264 |
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| Author |
Agnes Borras; Francesc Tous; Josep Llados; Maria Vanrell |
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| Title |
High-Level Clothes Description Based on Colour-Texture and Structural Features |
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2003 |
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1rst. Iberian Conference on Pattern Recognition and Image Analysis IbPRIA 2003 |
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Palma de Mallorca |
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CAT @ cat @ BTL2003b |
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369 |
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Robert Benavente; Gemma Sanchez; Ramon Baldrich; Maria Vanrell; Josep Llados |
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Normalized colour segmentation for human appearance description. |
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2000 |
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15 th International Conference on Pattern Recognition, 3:637–641. |
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Barcelona. |
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CAT @ cat @ BSB2000 |
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223 |
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Fahad Shahbaz Khan; Joost Van de Weijer; Maria Vanrell |
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| Title |
Top-Down Color Attention for Object Recognition |
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2009 |
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12th International Conference on Computer Vision |
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979 - 986 |
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Generally the bag-of-words based image representation follows a bottom-up paradigm. The subsequent stages of the process: feature detection, feature description, vocabulary construction and image representation are performed independent of the intentioned object classes to be detected. In such a framework, combining multiple cues such as shape and color often provides below-expected results. This paper presents a novel method for recognizing object categories when using multiple cues by separating the shape and color cue. Color is used to guide attention by means of a top-down category-specific attention map. The color attention map is then further deployed to modulate the shape features by taking more features from regions within an image that are likely to contain an object instance. This procedure leads to a category-specific image histogram representation for each category. Furthermore, we argue that the method combines the advantages of both early and late fusion. We compare our approach with existing methods that combine color and shape cues on three data sets containing varied importance of both cues, namely, Soccer ( color predominance), Flower (color and shape parity), and PASCAL VOC Challenge 2007 (shape predominance). The experiments clearly demonstrate that in all three data sets our proposed framework significantly outperforms the state-of-the-art methods for combining color and shape information. |
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Kyoto, Japan |
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1550-5499 |
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978-1-4244-4420-5 |
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ICCV |
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CAT @ cat @ SWV2009 |
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1196 |
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| Author |
Xavier Roca; Jordi Vitria; Maria Vanrell; Juan J. Villanueva |
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Gaze control in a binocular robot systems |
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Miscellaneous |
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1999 |
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Barcelona |
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OR;ISE;CIC;MV |
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BCNPCL @ bcnpcl @ RVV1999b |
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41 |
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| Author |
Robert Benavente; M.C. Olive; Maria Vanrell; Ramon Baldrich |
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| Title |
Colour Perception: A Simple Method for Colour Naming. |
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Miscellaneous |
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1999 |
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Girona |
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CAT @ cat @ BOV1999 |
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47 |
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