%0 Journal Article %1 besl85recognition %A Besl, Paul J. %A Jain, Ramesh C. %C New York, NY, USA %D 1985 %I ACM %J ACM Comput. Surv. %K research.cs.ai tech.3d %N 1 %P 75--145 %R http://doi.acm.org/10.1145/4078.4081 %T Three-dimensional object recognition %U http://portal.acm.org/citation.cfm?id=4081 %V 17 %X A general-purpose computer vision system must be capable of recognizing three-dimensional (3-D) objects. This paper proposes a precise definition of the 3-D object recognition problem, discusses basic concepts associated with this problem, and reviews the relevant literature. Because range images (or depth maps) are often used as sensor input instead of intensity images, techniques for obtaining, processing, and characterizing range data are also surveyed.

@article{besl85recognition, abstract = {A general-purpose computer vision system must be capable of recognizing three-dimensional (3-D) objects. This paper proposes a precise definition of the 3-D object recognition problem, discusses basic concepts associated with this problem, and reviews the relevant literature. Because range images (or depth maps) are often used as sensor input instead of intensity images, techniques for obtaining, processing, and characterizing range data are also surveyed.}, added-at = {2008-08-16T18:21:40.000+0200}, address = {New York, NY, USA}, author = {Besl, Paul J. and Jain, Ramesh C.}, biburl = {https://www.bibsonomy.org/bibtex/2187f4736f8b6de655dfe8398cbc2e54e/msn}, doi = {http://doi.acm.org/10.1145/4078.4081}, interhash = {ec972858fec4acb31979a69092639546}, intrahash = {187f4736f8b6de655dfe8398cbc2e54e}, issn = {0360-0300}, journal = {ACM Comput. Surv.}, keywords = {research.cs.ai tech.3d}, number = 1, pages = {75--145}, publisher = {ACM}, timestamp = {2009-06-25T15:59:17.000+0200}, title = {Three-dimensional object recognition}, url = {http://portal.acm.org/citation.cfm?id=4081}, volume = 17, year = 1985 }