Using specularities in comparing 3D models and 2D images
Computer Vision and Image Understanding
Collective-reward based approach for detection of semi-transparent objects in single images
Computer Vision and Image Understanding
Learning class-specific edges for object detection and segmentation
ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
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This paper addresses the problem of finding glass objects in images. Visual cues obtained by combining the systematic distortions in background texture occurring at the boundaries of transparent objects with the strong highlights typical of glass surfaces are used to train a hierarchy of classifiers, identify glass edges, and find consistent support regions for these edges. Qualitative and quantitative experiments involving a number of different classifiers and real images are presented.