Three-dimensional reconstruction of binocular stereo vision based on improved SURF algorithm and KD-Tree matching algorithm
Jie Cheng
Journal of Digital Information Management, Vol. 13, No. 6, 2015.
DOI: 
Link: http://dline.info/fpaper/jdim/v13i6/v13i6_7.pdf
Abstract:
With the constant development of computer
science and technology, binocular stereo vision as a special
form of computer vision plays a vital role in implementing
computer change detection, image correction, three-dimensional
reconstruction, and is widely applied in computer vision
fields such as aerial mapping, visual navigation, motion
analysis and industrial inspection. However, as it is difficult to
perform binocular stereo vision, and precise parallax principle
and mathematical method are required. Thus this study
rapidly and effectively realizes three-dimensional reconstruction
of binocular stereo vision by feature description vector
generated by improved surface (SURF) algorithm combined
with K-dimension tree (KD-Tree) searching. Effective combination
of improved SURF algorithm and KD-Tree significantly
enhances sense of reality of three-dimensional scene.