國立虎尾科技大學 |

Advances in Photometric 3D-Reconstruction

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Advances in Photometric 3D-Reconstruction/ edited by Jean-Denis Durou, Maurizio Falcone, Yvain Quéau, Silvia Tozza.
其他作者:	Tozza, Silvia.
面頁冊數:	VII, 234 p. 112 illus., 64 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Machine Learning. -
電子資源:	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, Maurizio Falcone, Yvain Quéau, Silvia Tozza. - 1st ed. 2020. - VII, 234 p. 112 illus., 64 illus. in color.online resource. - 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:

1137723
Machine Learning.

LC Class. No.: TA1630-1650

Dewey Class. No.: 006.6

Advances in Photometric 3D-Reconstruction
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