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Published in 2017 at "Journal of Mathematical Imaging and Vision"
DOI: 10.1007/s10851-017-0772-y
Abstract: We introduce a new, integrated approach to uncalibrated photometric stereo. We perform 3D reconstruction of Lambertian objects using multiple images produced by unknown, directional light sources. We show how to formulate a single optimization that…
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Keywords:
stereo using;
stereo;
integrability;
photometric stereo ... See more keywords
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Published in 2018 at "Isprs Journal of Photogrammetry and Remote Sensing"
DOI: 10.1016/j.isprsjprs.2017.12.010
Abstract: Abstract Photoclinometric surface reconstruction techniques such as Shape-from-Shading (SfS) and Shape-and-Albedo-from-Shading (SAfS) retrieve topographic information of a surface on the basis of the reflectance information embedded in the image intensity of each pixel. SfS or…
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Keywords:
reconstruction;
illumination;
stereo safs;
photometric stereo ... See more keywords
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Published in 2017 at "Journal of Computing in Civil Engineering"
DOI: 10.1061/(asce)cp.1943-5487.0000625
Abstract: AbstractInadequate skid resistance of pavement surface is a substantial reason for traffic accidents. There is a close relationship between sliding resistance and characteristics of texture morphology, demanding high precision and comprehensive acquisition of both macrotexture…
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Keywords:
pavement surface;
morphology;
light sources;
photometric stereo ... See more keywords
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Published in 2017 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/aa5c45
Abstract: We present a novel approach that addresses the blind reconstruction problem in scanning electron microscope (SEM) photometric stereo for complicated semiconductor patterns to be measured. In our previous work, we developed a bootstrapping de-shadowing and…
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Keywords:
reconstruction;
photometric stereo;
surface reconstruction;
sem photometric ... See more keywords
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Published in 2020 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2020.3031482
Abstract: One of the key issues in photometric stereo is the extension of its application in real world objects which shows non-Lambertian reflectance. This letter proposes a multi-scale weighted convolutional fusion network with deep learning architecture…
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Keywords:
photometric stereo;
convolutional fusion;
fusion network;
non lambertian ... See more keywords
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Published in 2019 at "IEEE Transactions on Computational Imaging"
DOI: 10.1109/tci.2018.2864882
Abstract: Photometric stereo is a method that seeks to reconstruct the normal vectors of an object from a set of images of the object illuminated under different light sources. While effective in some situations, classical photometric…
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Keywords:
photometric stereo;
dictionary learning;
stereo;
stereo via ... See more keywords
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Published in 2021 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2020.3047917
Abstract: The input data of photometric stereo have three dimensions: one photometric dimension of different lights and two spatial dimensions, i.e., rows and columns in the image coordinate. Recent deep-learning-based photometric stereo algorithms usually use 2-D/3-D…
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Keywords:
photometric stereo;
self attention;
stereo;
sps net ... See more keywords
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Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3144727
Abstract: Photometric stereo is one common surface normal estimation technique, which can be utilized for various industrial tasks such as 3-D surface detail reconstruction and defect inspection. To further satisfy the requirement of the industrial inspection,…
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Keywords:
self;
photometric stereo;
collocated light;
far field ... See more keywords
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Published in 2021 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2019.2962693
Abstract: Photometric Stereo (PS) under outdoor illumination remains a challenging, ill-posed problem due to insufficient variability in illumination. Months-long capture sessions are typically used in this setup, with little success on shorter, single-day time intervals. In…
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Keywords:
photometric stereo;
surface;
day;
photometric cues ... See more keywords
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Published in 2022 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2022.3198729
Abstract: We consider the problem of estimating surface normals of a scene with spatially varying, general bidirectional reflectance distribution functions (BRDFs) observed by a static camera under varying distant illuminations. Unlike previous approaches that rely on…
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Keywords:
search photometric;
surface normals;
discrete search;
photometric stereo ... See more keywords
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Published in 2022 at "Computer Graphics Forum"
DOI: 10.1111/cgf.14516
Abstract: The shape recovery quality of photometric stereo is sensitive to complicated error factors under close range lighting of quasi‐point lights. However, the error performance of photometric stereo under this practical scenario is still obscure. This…
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Keywords:
error;
quasi point;
point lights;
photometric stereo ... See more keywords