IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Match Propogation for Image-Based Modeling and Rendering
IEEE Transactions on Pattern Analysis and Machine Intelligence
3-D Motion and Structure from 2-D Motion Causally Integrated over Time: Implementation
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Multi-camera Scene Reconstruction via Graph Cuts
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Visual Modeling with a Hand-Held Camera
International Journal of Computer Vision
International Journal of Computer Vision - Special Issue on Texture Analysis and Synthesis
Stereo Correspondence by Dynamic Programming on a Tree
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Detailed Real-Time Urban 3D Reconstruction from Video
International Journal of Computer Vision
Variational principles, surface evolution, PDEs, level set methods, and the stereo problem
IEEE Transactions on Image Processing
Comparison of two algorithms for 3D skin reconstruction
Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication
Skin surface reconstruction from stereo images
Proceedings of the 4th International Conference on Uniquitous Information Management and Communication
| Hi-index | 0.00 |
As usual, laser scanning and structured light projection represent the optical measurement technologies mostly employed for 3D digitizing of the human body surface. The disadvantage is higher costs of producing hardware components with more precision. This paper presents a solution to the problem of in vivo human skin micro-surface reconstruction based on stereo matching. Skin images are taken by camera with 90mm lens. Micro skin images show texture-full wrinkle and vein for feature detection, while they are lack of color and texture contrast for dense matching. To obtain accurate disparity map of skin image, the two stages stereo matching algorithm is proposed, which combines feature-based and region-based matching algorithm together. First stage a triangular mesh structure is defined as prior knowledge through feature-based sparse matching. Region-based dense matching is done in corresponding triangle pairs in second stage. We demonstrate our algorithm with active skin image data and evaluate the performance with pixel error of test images.