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 address the problem of computing the 3-dimensional shape of an arbitrary scene from a set of images taken at known viewpoints. Multi-camera scene reconstruction is a natural gen...
Duplicating the full dynamic capabilities of the human eye-brain combination is a difficult task but an important goal because of the wide application that a system which can acqu...
Khurram Jawed, John Morris, Tariq Khan, Georgy L. ...
We present a method to generate stylized stereo imagery that effectively communicates shape and distance of the depicted scene objects. We use computer vision techniques to analyz...
Efstathios Stavrakis, Michael Bleyer, Danijela Mar...
We present a method for extracting dense features from stereo and motion sequences. Our dense feature is defined symmetrically with respect to both images, and it is extracted dur...