This paper presents a technique for the segmentation of range images. It tends to be a hybrid approach that combines edge detection and region growing techniques toward accomplish...
Alan Wui Tze Lim, Eam Khwang Teoh, Dinesh P. Mital
Co-occurrence histograms of oriented gradients (CoHOG) are powerful descriptors in object detection. In this paper, we propose to utilize a very large pool of CoHOG features with ...
One of the important steps in gradient-based edge detection is thresholding, e.g., hysteresis thresholding in the Canny detector. Traditional approaches use gradient magnitude as ...
In this paper, we propose a method for extracting image features which utilizes 2 nd order statistics, i.e., spatial and orientational auto-correlations of local gradients. It enab...
Recent work has shown impressive transform-invariant modeling and clustering for sets of images of objects with similar appearance. We seek to expand these capabilities to sets of...