We propose a graph-based semi-supervised symmetric matching framework that performs dense matching between two uncalibrated wide-baseline images by exploiting the results of sparse...
Jianxiong Xiao, Jingni Chen, Dit-Yan Yeung, Long Q...
We extend photometric stereo to make it work with internet
images, which are typically associated with different
viewpoints and significant noise. For popular tourism
sites, tho...
Li Shen (National University of Singapore), Ping T...
Image matting is the process of extracting a soft segmentation of an object in an image as defined by the matting equation. Most current techniques focus largely on computing the ...
In stereovision systems, the depth information of objects in the scene can be obtained by estimating the disparity, i.e. the displacement of corresponding pixels in the image pair...
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...