Results 21 to 30 of about 1,123 (167)
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
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Binocular Photometric Stereo [PDF]
Procedings of the British Machine Vision Conference 2011, 2011 This paper considers the problem of computing scene depth from a stereo pair of cameras under a sequence of illumination directions. By integrating parallax and shading cues, we obtain both metric depth and fine surface details. Casting this problem into the filter flow framework [16], enables a convex formulation of the problem, and thus a globally ...
Hao Du 0004 +2 more
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Photometric Stereo in the Wild [PDF]
2015 IEEE Winter Conference on Applications of Computer Vision, 2015 Conventional photometric stereo requires to capture images or videos in a dark room to obstruct complex environment light as much as possible. This paper presents a new method that capitalizes on environment light to avail geometry reconstruction, thus bringing photometric stereo to the wild, such as an outdoor scene, with uncontrolled lighting.
Chun Ho Hung +5 more
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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
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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
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Photometric Segmentation: Simultaneous Photometric Stereo and Masking [PDF]
2019 International Conference on 3D Vision (3DV), 2019 This work is concerned with both the 3D-reconstruction of an object using photometric stereo, and its 2D-segmentation from the background. In contrast with previous works on photometric stereo which assume that a mask of the area of interest has been computed beforehand, we formulate 3D-reconstruction and 2D-segmentation as a joint problem.
Bjoern Haefner +2 more
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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
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RMAFF-PSN: A Residual Multi-Scale Attention Feature Fusion Photometric Stereo Network
Photonics, 2023 Predicting accurate normal maps of objects from two-dimensional images in regions of complex structure and spatial material variations is challenging using photometric stereo methods due to the influence of surface reflection properties caused by ...
Kai Luo +4 more
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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
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Dynamic Photometric Stereo [PDF]
, 2005 A new dynamic photometric stereo technique is presented, which facilitates the analysis of rapidly moving surfaces containing mixed two- and three-dimensional concomitant features. A new approach termed narrow infra-red photometric stereo (NIRPS) is described as an evolution of the existing photometric stereo (PS) technique.
Melvyn L. Smith, Lyndon N. Smith
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