Computer vision research with new imaging technology

Guangqi Hou; Fei Liu; Zhenan Sun

doi:10.1117/12.2205630

14 December 2015 Computer vision research with new imaging technology

Guangqi Hou, Fei Liu, Zhenan Sun

Proceedings Volume 9813, MIPPR 2015: Pattern Recognition and Computer Vision; 981303 (2015) https://doi.org/10.1117/12.2205630
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China

Abstract

Light field imaging is capable of capturing dense multi-view 2D images in one snapshot, which record both intensity values and directions of rays simultaneously. As an emerging 3D device, the light field camera has been widely used in digital refocusing, depth estimation, stereoscopic display, etc. Traditional multi-view stereo (MVS) methods only perform well on strongly texture surfaces, but the depth map contains numerous holes and large ambiguities on textureless or low-textured regions. In this paper, we exploit the light field imaging technology on 3D face modeling in computer vision. Based on a 3D morphable model, we estimate the pose parameters from facial feature points. Then the depth map is estimated through the epipolar plane images (EPIs) method. At last, the high quality 3D face model is exactly recovered via the fusing strategy. We evaluate the effectiveness and robustness on face images captured by a light field camera with different poses.

Citation Download Citation

Guangqi Hou, Fei Liu, and Zhenan Sun "Computer vision research with new imaging technology", Proc. SPIE 9813, MIPPR 2015: Pattern Recognition and Computer Vision, 981303 (14 December 2015); https://doi.org/10.1117/12.2205630

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KEYWORDS

3D modeling

3D image processing

Cameras

Computer vision technology

Machine vision

Visual process modeling

Feature extraction

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