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Advances in photometric 3D-reconstru...

Durou, Jean-Denis.

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Advances in photometric 3D-reconstruction

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advances in photometric 3D-reconstruction/ edited by Jean-Denis Durou ... [et al.].
other author:	Durou, Jean-Denis.
Published:	Cham :Springer International Publishing : : 2020.,
Description:	vii, 234 p. :ill., digital ;24 cm.
[NT 15003449]:	1. A Comprehensive Introduction to Photometric 3D-Reconstruction -- 2. Perspective Shape from Shading an Exposition on Recent Works with New Experiments -- 3. RGBD-Fusion: Depth Reﬁnement for Diffuse and Specular Objects -- 4. Non-Rigid Structure from Motion and Shading -- 5. On the Well-Posedness of Uncalibrated Photometric Stereo Under General Lighting.
Contained By:	Springer Nature eBook
Subject:	Three-dimensional imaging. -
Online resource:	https://doi.org/10.1007/978-3-030-51866-0
ISBN:	9783030518660

Advances in photometric 3D-reconstruction
Advances in photometric 3D-reconstruction[electronic resource] /edited by Jean-Denis Durou ... [et al.]. - Cham :Springer International Publishing :2020. - vii, 234 p. :ill., digital ;24 cm. - Advances in computer vision and pattern recognition,2191-6586. - Advances in computer vision and pattern recognition..

1. A Comprehensive Introduction to Photometric 3D-Reconstruction -- 2. Perspective Shape from Shading an Exposition on Recent Works with New Experiments -- 3. RGBD-Fusion: Depth Reﬁnement for Diffuse and Specular Objects -- 4. Non-Rigid Structure from Motion and Shading -- 5. On the Well-Posedness of Uncalibrated Photometric Stereo Under General Lighting.

This book presents the latest advances in photometric 3D reconstruction. It provides the reader with an overview of the state of the art in the field, and of the latest research into both the theoretical foundations of photometric 3D reconstruction and its practical application in several fields (including security, medicine, cultural heritage and archiving, and engineering) These techniques play a crucial role within such emerging technologies as 3D printing, since they permit the direct conversion of an image into a solid object. The book covers both theoretical analysis and real-world applications, highlighting the importance of deepening interdisciplinary skills, and as such will be of interest to both academic researchers and practitioners from the computer vision and mathematical 3D modeling communities, as well as engineers involved in 3D printing. No prior background is required beyond a general knowledge of classical computer vision models, numerical methods for optimization, and partial differential equations.

ISBN: 9783030518660

Standard No.: 10.1007/978-3-030-51866-0doiSubjects--Topical Terms:

589407
Three-dimensional imaging.

LC Class. No.: TA1560 / .A38 2020

Dewey Class. No.: 006.693

Advances in photometric 3D-reconstruction
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245 0 0 $a Advances in photometric 3D-reconstruction $h [electronic resource] / $c edited by Jean-Denis Durou ... [et al.].
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300 $a vii, 234 p. : $b ill., digital ; $c 24 cm.
490 1 $a Advances in computer vision and pattern recognition, $x 2191-6586
505 0 $a 1. A Comprehensive Introduction to Photometric 3D-Reconstruction -- 2. Perspective Shape from Shading an Exposition on Recent Works with New Experiments -- 3. RGBD-Fusion: Depth Reﬁnement for Diffuse and Specular Objects -- 4. Non-Rigid Structure from Motion and Shading -- 5. On the Well-Posedness of Uncalibrated Photometric Stereo Under General Lighting.
520 $a This book presents the latest advances in photometric 3D reconstruction. It provides the reader with an overview of the state of the art in the field, and of the latest research into both the theoretical foundations of photometric 3D reconstruction and its practical application in several fields (including security, medicine, cultural heritage and archiving, and engineering) These techniques play a crucial role within such emerging technologies as 3D printing, since they permit the direct conversion of an image into a solid object. The book covers both theoretical analysis and real-world applications, highlighting the importance of deepening interdisciplinary skills, and as such will be of interest to both academic researchers and practitioners from the computer vision and mathematical 3D modeling communities, as well as engineers involved in 3D printing. No prior background is required beyond a general knowledge of classical computer vision models, numerical methods for optimization, and partial differential equations.
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650 2 4 $a Mathematical Modeling and Industrial Mathematics. $3 891089
650 2 4 $a Machine Learning. $3 3382522
700 1 $a Durou, Jean-Denis. $3 3503631
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