Three-dimensional shape construction and recognition by fusing intensity and structured lighting
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software
Reference23 articles.
1. Bayesian recognition of local 3-D shape by approximating image intensity functions with quadric polynomials;Bolle;IEEE Trans. Pattern Analysis Mach. Intell.,1984
2. 3-D space location and orientation parameter estimation of Lambertian spheres and cylinders from a single 2-D image by fitting lines and ellipses to thresholded data;Cernuschi-Frias;IEEE Trans. Pattern Analysis Mach. Intell.,1984
3. Toward a model-based Bayesian theory for estimating and recognizing parameterized 3-D objects using two or more images taken from different positions;Cernuschi-Frias;IEEE Trans. Pattern Analysis Mach. Intell.,1989
4. Model construction and shape recognition from occluding contours;Chien;IEEE Trans. Pattern Analysis Mach. Intell.,1989
5. Recovering three-dimensional shape from a single image of curved objects;Malik;IEEE Trans. Pattern Analysis Mach. Intell.,1989
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1. Application of 3D Surface Scanners in Forensic Science and Medicine ( I ) - Digital Storage of Human Skeletons and Development of Appraisal Methods for Incident Scenes -;Korean Journal of Legal Medicine;2012
2. Three dimensional digitization of human head by fusing structured light and contours;Journal of Electronics (China);2002-01
3. Recent progress in coded structured light as a technique to solve the correspondence problem;Pattern Recognition;1998-07
4. Range data acquisition using color structured lighting and stereo vision;Image and Vision Computing;1997-06
5. The surface-attribute probe—an “active-vision” approach to 3-D object characterization;Pattern Recognition;1996-04
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