the 2020 Guangdong International Cooperation Project(No.2019A050510007).
The advent of convolutional neural networks has led to remarkable progress in dense stereo labeling problem,achieving superior performance over the traditional methods.However,the ill-posed nature of stereo matching m...
supported by NSFC Joint Fund with Guangdong under Key Project(U1201258);National Natural Science foundation of China(61402261;61303088;61572286);the scientific research foundation of Shandong Province of Outstanding Young Scientist Award(BS2013DX048);Shandong Ji’nan Science and Technology Development Project(201202015)
Reliable saliency detection can be used to quickly and effectively locate objects in images. In this paper, a novel algorithm for saliency detection based on superpixels clustering and stereo disparity (SDC) is prop...
A four-moded Census transform stereo matching algorithm using bidirectional constraint dynamic programming and relative confidence plane fitting is proposed to solve the problems of matching quality. Using the four-mo...
One can select feature points as matching character by using disparity estimation method, under satisfying the condition of certain matching theorem. Then we can obtain a constraint minimum energy function. By using s...