Distortion Invariant Object Recognition in the Dynamic Link Architecture
IEEE Transactions on Computers
Face Recognition: Features Versus Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
From 2D Images to 3D Face Geometry
FG '96 Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96)
Recognition of 3D Free-Form Objects Using Segment-Based Stereo Vision
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Journal of Cognitive Neuroscience
3D face modeling based on structured-light assisted stereo sensor
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
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A segment-based stereo vision system has been modified to reconstruct 3D facial models. Because usually it is difficult to get enough edges to reconstruct a 3D facial model with edge-based stereo algorithms, most research on 3D face model is based on correlation stereo algorithms, even though these algorithms are often time-consuming. We present a fast 3D face reconstruction algorithm using isoluminance lines from stereo images, which is effective even when only a few edges can be detected. We also introduce a very efficient algorithm to search for irises in 3D space, which can then be used to identify the face position and direction. Our experiments show that our 3D facial model is suitable for 3D face recognition.