3982 search results - page 264 / 797 » Learning to Recognize Objects |
212
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ICCV
2005
IEEE
16 years 8 months ago
2005
IEEE
This paper presents a probabilistic part-based approach for texture and object recognition. Textures are represented using a part dictionary found by quantizing the appearance of ...
170
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CAIP
1999
Springer
1999
Springer
EigenHistograms: Using Low Dimensional Models of Color Distribution for Real Time Object Recognition
15 years 11 months ago
Abstract. Distribution of object colors has been used in computer vision for recognition and indexing. Most of the recent approaches to this problem have been focused on de ning op...
182
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ECCV
2010
Springer
15 years 9 months ago
2010
Springer
Unsupervised learning requires a grouping step that defines which data belong together. A natural way of grouping in images is the segmentation of objects or parts of objects. Whi...
203
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RIAO
2007
15 years 8 months ago
2007
With web image search engines, we face a situation where the results are very noisy, and when we ask for a specific object, we are not ensured that this object is contained in all...
198
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ICIG
2009
IEEE
16 years 1 months ago
2009
IEEE
Categorizing multiple objects in images is essentially a structured prediction problem: the label of an object is in general dependent on the labels of other objects in the image....