Results 151 to 160 of about 12,022 (190)
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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,
null 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,
null 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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Photometric Stereo via Expectation Maximization
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010This paper presents a robust and automatic approach to photometric stereo, where the two main components, namely surface normals and visible surfaces, are respectively optimized by Expectation Maximization (EM). A dense set of input images is conveniently captured using a digital video camera while a handheld spotlight is being moved around the target ...
Wu, Tai-Pang, Tang, Chi-Keung
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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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Matching photometric-stereo images
Journal of the Optical Society of America A, 1998We introduce a new process of shape estimation through the matching of photometric-stereo images, which are monocular images obtained under different illuminations. If the illumination directions are not far apart, and if the imaged surface is smooth, so that a linear approximation to the reflectance map is applicable, the disparities produced by the ...
José R. A. Torreão, João L. Fernandes
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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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6th International Conference on Image Processing and its Applications, 1997
A novel variant of photometric stereo, termed reflective photometric stereo (RPS), has been presented. RPS exploits differences in intensity measurements captured under direct and reflected illumination to recover surface orientation from pairs of grey level images.
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A novel variant of photometric stereo, termed reflective photometric stereo (RPS), has been presented. RPS exploits differences in intensity measurements captured under direct and reflected illumination to recover surface orientation from pairs of grey level images.
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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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Time‐Lapse Photometric Stereo and Applications
Computer Graphics Forum, 2014AbstractThis paper presents a technique to recover geometry from time‐lapse sequences of outdoor scenes. We build upon photometric stereo techniques to recover approximate shadowing, shading and normal components allowing us to alter the material and normals of the scene. Previous work in analyzing such images has faced two fundamental difficulties: 1.
Shen, Fangyang +5 more
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2010
We propose a novel algorithm for uncalibrated photometric stereo. While most of previous methods rely on various assumptions on scene properties, we exploit constraints in lighting configurations. We first derive an ambiguous reconstruction by requiring lights to lie on a view centered cone.
Zhenglong Zhou, Ping Tan
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We propose a novel algorithm for uncalibrated photometric stereo. While most of previous methods rely on various assumptions on scene properties, we exploit constraints in lighting configurations. We first derive an ambiguous reconstruction by requiring lights to lie on a view centered cone.
Zhenglong Zhou, Ping Tan
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