%0 Conference Paper %1 1384819 %A Zhang, Song %A Huang, Peisen %B Computer Vision and Pattern Recognition Workshop, 2004. CVPRW '04. Conference on %D 2004 %K light structured %P 28-28 %R 10.1109/CVPR.2004.86 %T High-Resolution, Real-time 3D Shape Acquisition %U http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1384819&tag=1 %X In this paper we describe a high-resolution, real-time 3D shape acquisition system based on structured light techniques. This system uses a color pattern whose RGB channels are coded with either sinusoidal or trapezoidal fringe patterns. When projected by a modified DLP projector (color filters removed), this color pattern results in three grayscale patterns projected sequentially at a frequency of 240 Hz. A high-speed B/W CCD camera synchronized with the projector captures the three images, from which the 3D shape of the object is reconstructed. A color CCD camera is also used to capture images for texture mapping. The maximum 3D shape acquisition speed is 120 Hz (532 × 500 pixels), which is high enough for capturing the 3D shapes of moving objects. Two coding methods, sinusoidal phase-shifting method and trapezoidal phase-shifting method, were tested and results with good accuracy were obtained. The trapezoidal phase-shifting algorithm also makes real-time 3D reconstruction possible.

@inproceedings{1384819, abstract = {In this paper we describe a high-resolution, real-time 3D shape acquisition system based on structured light techniques. This system uses a color pattern whose RGB channels are coded with either sinusoidal or trapezoidal fringe patterns. When projected by a modified DLP projector (color filters removed), this color pattern results in three grayscale patterns projected sequentially at a frequency of 240 Hz. A high-speed B/W CCD camera synchronized with the projector captures the three images, from which the 3D shape of the object is reconstructed. A color CCD camera is also used to capture images for texture mapping. The maximum 3D shape acquisition speed is 120 Hz (532 × 500 pixels), which is high enough for capturing the 3D shapes of moving objects. Two coding methods, sinusoidal phase-shifting method and trapezoidal phase-shifting method, were tested and results with good accuracy were obtained. The trapezoidal phase-shifting algorithm also makes real-time 3D reconstruction possible.}, added-at = {2014-08-28T11:22:04.000+0200}, author = {Zhang, Song and Huang, Peisen}, biburl = {https://www.bibsonomy.org/bibtex/2abc89e6c26dbcaf269b54ded89ac6f72/reini1305}, booktitle = {Computer Vision and Pattern Recognition Workshop, 2004. CVPRW '04. Conference on}, description = {IEEE Xplore Abstract - High-Resolution, Real-time 3D Shape Acquisition}, doi = {10.1109/CVPR.2004.86}, interhash = {d45cd3cf028c618236a2ecacd2eca259}, intrahash = {abc89e6c26dbcaf269b54ded89ac6f72}, keywords = {light structured}, month = {June}, pages = {28-28}, timestamp = {2014-09-08T10:31:45.000+0200}, title = {High-Resolution, Real-time 3D Shape Acquisition}, url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1384819&tag=1}, year = 2004 }