Results 31 to 40 of about 188,468 (230)
Differentiable Display Photometric Stereo [PDF]
Computer Vision and Pattern Recognition, 2023 Photometric stereo leverages variations in illumination conditions to reconstruct surface normals. Display photo-metric stereo, which employs a conventional monitor as an illumination source, has the potential to overcome limitations often encountered in
Seokjun Choi +4 more
semanticscholar +1 more source
GR-PSN: Learning to Estimate Surface Normal and Reconstruct Photometric Stereo Images
IEEE Transactions on Visualization and Computer Graphics, 2023 In this paper, we propose a novel method, namely GR-PSN, which learns surface normals from photometric stereo images and generates the photometric images under distant illumination from different lighting directions and surface materials.
Yakun Ju +5 more
semanticscholar +1 more source
Machines, 2022 High-quality reconstruction of polished surfaces is a promising yet challenging task in the industrial field. Due to its extreme reflective properties, state-of-the-art methods have not achieved a satisfying trade-off between retaining texture and ...
Yanlong Cao +5 more
doaj +1 more source
Efficient Feature Fusion for Learning-Based Photometric Stereo
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2023 How to handle an arbitrary number for input images is a fundamental problem of learning-based photometric stereo methods. Existing approaches adopt max-pooling or observation map to fuse an arbitrary number of extracted features.
Yakun Ju +5 more
semanticscholar +1 more source
A Neural Height-Map Approach for the Binocular Photometric Stereo Problem [PDF]
IEEE Workshop/Winter Conference on Applications of Computer Vision, 2023 In this work we propose a novel, highly practical, binocular photometric stereo (PS) framework, which has same acquisition speed as single view PS, however significantly improves the quality of the estimated geometry.As in recent neural multi-view shape ...
Fotios Logothetis +2 more
semanticscholar +1 more source
3D DIGITIZATION OF HERITAGE: PHOTOMETRIC STEREO CAN HELP [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 There are mainly two families of photographic 3D reconstruction. Photogrammetry techniques work according to the principle of triangulation, from the matching of different views, while photometric techniques link the appearance of a 3D point to the ...
J. Mélou +4 more
doaj +1 more source
Uncertainty-Aware Deep Multi-View Photometric Stereo [PDF]
Computer Vision and Pattern Recognition, 2022 This paper presents a simple and effective solution to the longstanding classical multi-view photometric stereo (MVPS) problem. It is well-known that photometric stereo (PS) is excellent at recovering high-frequency surface details, whereas multi-view ...
Berk Kaya +4 more
semanticscholar +1 more source
PS-Transformer: Learning Sparse Photometric Stereo Network using Self-Attention Mechanism [PDF]
British Machine Vision Conference, 2022 Existing deep calibrated photometric stereo networks basically aggregate observations under different lights based on the pre-defined operations such as linear projection and max pooling.
Satoshi Ikehata
semanticscholar +1 more source
Depth Super-Resolution Meets Uncalibrated Photometric Stereo [PDF]
, 2017 A novel depth super-resolution approach for RGB-D sensors is presented. It disambiguates depth super-resolution through high-resolution photometric clues and, symmetrically, it disambiguates uncalibrated photometric stereo through low-resolution depth ...
Cremers, Daniel +3 more
core +2 more sources
FCN-Based 3D Reconstruction with Multi-Source Photometric Stereo
Applied Sciences, 2020 As a classical method widely used in 3D reconstruction tasks, the multi-source Photometric Stereo can obtain more accurate 3D reconstruction results compared with the basic Photometric Stereo, but its complex calibration and solution process reduces the ...
Ruixin Wang +4 more
doaj +1 more source