Object Image Relighting through Patch Match Warping and Color Transfer

Object Image Relighting through Patch Match Warping and Color Transfer

Xin Jin1, *, Yulu Tian1 , Ningning Liu3 , Chaochen Ye1 , Jingying Chi2 , Xiaodong Li1, *, Geng Zhao1 1 Beijing Electronic Science and Technology Institute, Beijing 100070, China 2 Beijing University of Chemical and Technology, Beijing 100029, China 3 University of International Business and Economics, School of Information technology and Management, Beijing, 100029, .China * Corresponding Authors: {jinxin, lxd}@besti.edu.cn


    In this paper, we propose a novel method for image based object relighting through patch match warping and color transfer. According to our method, a pair of reference object images (A and B), without any knowledge of the 3D geometry or material information of the input object image, are needed. The input image has similar illumination condition as that of the reference image A. The reference image B has the target illumination condition. We first modify the color of the reference object images according to the color of the input object image. Then the modified reference image A is warped to the input image using the image patch match. The reference B has the same warping to that of A. At last, the illumination of the reference B is transferred to the input image through a local and global transfer model learned from the warped reference B and A. We test our method on the ALOI dataset (Amsterdam Library of Object Images) and acquire convincing relit result on numerous input and reference object images with different illumination conditions.


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