The book covers the fundamental computer vision techniques such as template matching histogram transformations, background subtraction, filtering and reflectance models, edge detec...
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...
A post-processor is an integral part of any OCR system. This paper proposes a method for detection and correction of errors in recognition results of handwritten and machine print...
Abstract: We address the recovery of segmented, 3-0 descriptions of an object from intensity images. We use three views of an objectfrom slightly different viewpointsas our input. ...
— Matching images with large geometric and iconic changes (e.g. faces under different poses and facial expressions) is an open research problem in computer vision. There are two ...