Automatic 3D Ear Reconstruction Based on Epipolar Geometry
We present a novel 3D ear reconstruction method based on epipolar geometry. First, we calibrate the camera system. Second, we apply Harris corner detector to extract feature points from the first image. For every feature point, we apply epipolar geometry constrain to draw epipolar line in the second image and search corresponding point on it. Both the feature point and points on the epipolar line are described by DAISY descriptor. By measuring the similarity between the descriptor of the feature point and descriptors of points on the epipolar line using Euclidean distance, we cast away outliers and obtain the matching points. Finally, the 3D ear model can be reconstructed by using triangula-tion principle. Our method can automatically provide sufficient matching points and it is also less timeconsuming due to the high performance of DAISy descriptor. Experimental results indicate that our method is feasible.
Chao Sun Zhi-chun Mu Hui Zeng
School of Information Engineering University of Science and Technology Beijing,100083,China
国际会议
The Fifth International Conference on Image and Graphics(第五届国际图像图形学学术会议 ICIG 2009)
西安
英文
496-500
2009-09-20（万方平台首次上网日期，不代表论文的发表时间）