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Semi-Calibrated Photometric Stereo
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020While conventional calibrated photometric stereo methods assume that light intensities and sensor exposures are known or unknown but identical across observed images, this assumption easily breaks down in practical settings due to individual light bulb's characteristics and limited control over sensors.
Donghyeon Cho +2 more
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IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008
Conventional photometric stereo recovers one normal direction per pixel of the input image. This fundamentally limits the scale of recovered geometry to the resolution of the input image, and cannot model surfaces with subpixel geometric structures. In this paper, we propose a method to recover subpixel surface geometry by studying the relationship ...
Tan, Ping, Lin, Stephen, Quan, Long
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Conventional photometric stereo recovers one normal direction per pixel of the input image. This fundamentally limits the scale of recovered geometry to the resolution of the input image, and cannot model surfaces with subpixel geometric structures. In this paper, we propose a method to recover subpixel surface geometry by studying the relationship ...
Tan, Ping, Lin, Stephen, Quan, Long
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IEEE International Conference on Computational Photography (ICCP), 2013
We introduce a framework for outdoor photometric stereo utilizing natural environmental illumination. Our framework extends beyond existing photometric stereo methods intended for laboratory environments to encompass robust outdoor operation in the real world. In this paper, we motivate our framework, describe the components of its processing pipeline,
Lap-Fai Yu +4 more
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We introduce a framework for outdoor photometric stereo utilizing natural environmental illumination. Our framework extends beyond existing photometric stereo methods intended for laboratory environments to encompass robust outdoor operation in the real world. In this paper, we motivate our framework, describe the components of its processing pipeline,
Lap-Fai Yu +4 more
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2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010
This paper describes a photometric stereo method that works with a wide range of surface reflectances. Unlike previous approaches that assume simple parametric models such as Lambertian reflectance, the only assumption that we make is that the reflectance has three properties; monotonicity, visibility, and isotropy with respect to the cosine of light ...
Tomoaki Higo +2 more
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This paper describes a photometric stereo method that works with a wide range of surface reflectances. Unlike previous approaches that assume simple parametric models such as Lambertian reflectance, the only assumption that we make is that the reflectance has three properties; monotonicity, visibility, and isotropy with respect to the cosine of light ...
Tomoaki Higo +2 more
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Self-calibrating photometric stereo
2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010We present a self-calibrating photometric stereo method. From a set of images taken from a fixed viewpoint under different and unknown lighting conditions, our method automatically determines a radiometric response function and resolves the generalized bas-relief ambiguity for estimating accurate surface normals and albedos.
Boxin Shi +4 more
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Learning to Minify Photometric Stereo
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019Photometric stereo estimates the surface normal given a set of images acquired under different illumination conditions. To deal with diverse factors involved in the image formation process, recent photometric stereo methods demand a large number of images as input.
Junxuan Li +3 more
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Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003
An active vision technique for determining the absolute depth of surfaces is described. The algorithm assumes a very general model for the reflectance properties of the surface, and is valid for most of the shading models commonly used in computer vision work.
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An active vision technique for determining the absolute depth of surfaces is described. The algorithm assumes a very general model for the reflectance properties of the surface, and is valid for most of the shading models commonly used in computer vision work.
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An approximation technique for photometric stereo
Pattern Recognition Letters, 1984Photometric stereo is a technique to determine the orientation of an object. It takes at least three images corresponding to three different light sources to determine the orientation and to eliminate the ambiguities which will arise if only two light sources are used.
Chia-Hoang Lee, Azriel Rosenfeld
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Deep Photometric Stereo Network
2017 IEEE International Conference on Computer Vision Workshops (ICCVW), 2017This paper presents a photometric stereo method based on deep learning. One of the major difficulties in photometric stereo is designing can appropriate reflectance model that is both capable of representing real-world reflectances and computationally tractable in terms of deriving surface normal. Unlike previous photometric stereo methods that rely on
Hiroaki Santo +4 more
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ShadowCuts: Photometric Stereo with Shadows
2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007We present an algorithm for performing Lambertian photometric stereo in the presence of shadows. The algorithm has three novel features. First, a fast graph cuts based method is used to estimate per pixel light source visibility. Second, it allows images to be acquired with multiple illuminants, and there can be fewer images than light sources.
Manmohan Krishna Chandraker +2 more
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