no code implementations • CVPR 2018 • Zhipeng Mo, Boxin Shi, Feng Lu, Sai-Kit Yeung, Yasuyuki Matsushita
This paper presents a photometric stereo method that works with unknown natural illuminations without any calibration object.
no code implementations • CVPR 2017 • Zhipeng Mo, Boxin Shi, Sai-Kit Yeung, Yasuyuki Matsushita
Radiometrically calibrating the images from Internet photo collections brings photometric analysis from lab data to big image data in the wild, but conventional calibration methods cannot be directly applied to such image data.
no code implementations • CVPR 2016 • Boxin Shi, Zhe Wu, Zhipeng Mo, Dinglong Duan, Sai-Kit Yeung, Ping Tan
Recent progress on photometric stereo extends the technique to deal with general materials and unknown illumination conditions.
no code implementations • 5 Aug 2014 • Shengcai Liao, Zhipeng Mo, Jianqing Zhu, Yang Hu, Stan Z. Li
Person re-identification is becoming a hot research for developing both machine learning algorithms and video surveillance applications.