With the great success in three-dimensional (3D) movies, a lot of 3D content have been
generated. Depth information is one of the important elements in 3D content generation …

Biologically–compatible methods are not commonly used for face recognition. Complex
computational approaches are preferred and dominate the state of the art. However, we …

摘要针对半全局立体匹配算法在视差不连续区域精度较低的问题, 提出一种基于融合代价和自
适应惩罚项系数的半全局立体匹配算法. 在代价计算部分, 提出一种融合代价计算方法 …

Computation of stereoscopic depth and disparity map extraction are dynamic research
topics. A large variety of algorithms has been developed, among which we cite feature …

The depth cue is a fundamental piece of information for artificial and living beings who
interact with the surrounding environment in order to handle objects and to avoid obstacles …

The growing interest in using the three dimensional information in various application fields
has led to the generation of huge color stereo image databases. As a result, it becomes …

Dense depth map extraction is a dynamic research field in a computer vision that tries to
recover three-dimensional information from a stereo image pair. A large variety of algorithms …

To overcome the low performance in efficiency and accuracy in stereo matching, a stereo
matching method that combines adaptive weight with sparse block aggregation is presented …

Stereo matching is a key technique in the field of 3D image and video processing and it
plays an important role in a practical stereo vision system. Though stereo matching has …

Stereo matching is an active research area in computer vision for decades. This paper
introduces a new disparity map estimation algorithm based on image segments. The …