Automatic 3D Ear Reconstruction Based on Epipolar Geometry

Abstract

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 triangulation principle. Our method can automatically provide sufficient matching points and it is also less time consuming due to the high performance of DAISY descriptor. Experimental results indicate that our method is feasible.