Results 21 to 30 of about 188,468 (230)
A CNN Based Approach for the Point-Light Photometric Stereo Problem [PDF]
International Journal of Computer Vision, 2022 Reconstructing the 3D shape of an object using several images under different light sources is a very challenging task, especially when realistic assumptions such as light propagation and attenuation, perspective viewing geometry and specular light ...
Fotios Logothetis +3 more
openalex +3 more sources
<i>Sweet</i>-An Open Source Modular Platform for Contactless Hand Vascular Biometric Experiments. [PDF]
Sensors (Basel)Current finger-vein or palm-vein recognition systems usually require direct contact of the subject with the apparatus. This can be problematic in environments where hygiene is of primary importance.
Geissbühler D +4 more
europepmc +2 more sources
Scalable, Detailed and Mask-Free Universal Photometric Stereo [PDF]
Computer Vision and Pattern Recognition, 2023 In this paper, we introduce SDM-UniPS, a groundbreaking Scalable, Detailed, Mask-free, and Universal Photometric Stereo network. Our approach can recover astonishingly intricate surface normal maps, rivaling the quality of 3D scanners, even when images ...
Satoshi Ikehata
semanticscholar +1 more source
PS-NeRF: Neural Inverse Rendering for Multi-view Photometric Stereo [PDF]
European Conference on Computer Vision, 2022 Traditional multi-view photometric stereo (MVPS) methods are often composed of multiple disjoint stages, resulting in noticeable accumulated errors. In this paper, we present a neural inverse rendering method for MVPS based on implicit representation ...
Wenqi Yang +4 more
semanticscholar +1 more source
Remote Sensing, 2021 Topographic products are important for mission operations and scientific research in lunar exploration. In a lunar rover mission, high-resolution digital elevation models are typically generated at waypoints by photogrammetry methods based on rover ...
Man Peng +6 more
doaj +1 more source
DANI-Net: Uncalibrated Photometric Stereo by Differentiable Shadow Handling, Anisotropic Reflectance Modeling, and Neural Inverse Rendering [PDF]
Computer Vision and Pattern Recognition, 2023 Uncalibrated photometric stereo (UPS) is challenging due to the inherent ambiguity brought by the unknown light. Although the ambiguity is alleviated on non-Lambertian objects, the problem is still difficult to solve for more general objects with complex
Zong-Han Li +4 more
semanticscholar +1 more source
Multi-View Photometric Stereo Revisited [PDF]
IEEE Workshop/Winter Conference on Applications of Computer Vision, 2023 Multi-view photometric stereo (MVPS) is a preferred method for detailed and precise 3D acquisition of an object from images. Although popular methods for MVPS can provide outstanding results, they are often complex to execute and limited to isotropic ...
Berk Kaya +4 more
openalex +3 more sources
PHOTOMETRIC STEREO SHAPE-AND-ALBEDO-FROM-SHADING FOR PIXEL-LEVEL RESOLUTION LUNAR SURFACE RECONSTRUCTION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 Shape and Albedo from Shading (SAfS) techniques recover pixel-wise surface details based on the relationship between terrain slopes, illumination and imaging geometry, and the energy response (i.e., image intensity) captured by the sensing system ...
W. C. Liu, B. Wu
doaj +1 more source
Deep Learning Methods for Calibrated Photometric Stereo and Beyond [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 Photometric stereo recovers the surface normals of an object from multiple images with varying shading cues, i.e., modeling the relationship between surface orientation and intensity at each pixel.
Yakun Ju +5 more
semanticscholar +1 more source
Learning conditional photometric stereo with high-resolution features
Computational Visual Media, 2021 Photometric stereo aims to reconstruct 3D geometry by recovering the dense surface orientation of a 3D object from multiple images under differing illumination.
Yakun Ju +4 more
doaj +1 more source