Recent progress in coded structured light as a technique to solve the correspondence problem: a survey

• Published in: Pattern recognition Vol. 31; no. 7; pp. 963 - 982
• Main Authors: Batlle, J., Mouaddib, E., Salvi, J.
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 31.07.1998; Elsevier Science
• Subjects: Active stereo; Algorithmics. Computability. Computer arithmetics; Applied sciences; Artificial intelligence; Computer science; control theory; systems; Computer vision; Correspondence problem; Depth perception; Exact sciences and technology; Pattern projection; Pattern recognition. Digital image processing. Computational geometry; Range data; Theoretical computing; Depth perception; Computer vision; Active stereo; Correspondence problem; Pattern projection; Range data; Image processing; Coding; Calipering; Pattern recognition; Stereopsis; Algorithm; Pairing; Movie camera; Comparative study; Depth
• ISSN: 0031-3203; 1873-5142
• DOI: 10.1016/S0031-3203(97)00074-5

We present a survey of the most significant techniques, used in the last few years, concerning the coded structured light methods employed to get 3D information. In fact, depth perception is one of the most important subjects in computer vision. Stereovision is an attractive and widely used method, but, it is rather limited to make 3D surface maps, due to the correspondence problem. The correspondence problem can be improved using a method based on structured light concept, projecting a given pattern on the measuring surfaces. However, some relations between the projected pattern and the reflected one must be solved. This relationship can be directly found codifying the projected light, so that, each imaged region of the projected pattern carries the needed information to solve the correspondence problem.