318 citations · 441 across the 19 of their papers we have counts for
7 papers · 2 filters
Sparse Photometric 3D Face Reconstruction Guided by Morphable Models
Xuan Cao, Zhang Chen, Anpei Chen +3
We present a novel 3D face reconstruction technique that leverages sparse photometric stereo (PS) and latest advances on face registration/modeling from a single image. We observe…
Deep Eyes: Binocular Depth-from-Focus on Focal Stack Pairs
Xinqing Guo, Zhang Chen, Siyuan Li +2
Human visual system relies on both binocular stereo cues and monocular focusness cues to gain effective 3D perception. In computer vision, the two problems are traditionally solved…
Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55
Li Yi, Lin Shao, Manolis Savva +47
We introduce a large-scale 3D shape understanding benchmark using data and annotation from ShapeNet 3D object database. The benchmark consists of two tasks: part-level segmentation…
Personalized Saliency and its Prediction
Yanyu Xu, Shenghua Gao, Junru Wu +2
Nearly all existing visual saliency models by far have focused on predicting a universal saliency map across all observers. Yet psychology studies suggest that visual attention of…
Hyperspectral Light Field Stereo Matching
Kang Zhu, Yujia Xue, Qiang Fu +3
In this paper, we describe how scene depth can be extracted using a hyperspectral light field capture (H-LF) system. Our H-LF system consists of a 5 x 6 array of cameras, with each…
A Learning-based Framework for Hybrid Depth-from-Defocus and Stereo Matching
Zhang Chen, Xinqing Guo, Siyuan Li +2
Depth from defocus (DfD) and stereo matching are two most studied passive depth sensing schemes. The techniques are essentially complementary: DfD can robustly handle repetitive te…