Efficient 3D Object Retrieval Using Depth Images

Efficient 3D Object Retrieval Using Depth Images
Author :
Publisher :
Total Pages : 232
Release :
ISBN-10 : OCLC:57031035
ISBN-13 :
Rating : 4/5 (35 Downloads)

Book Synopsis Efficient 3D Object Retrieval Using Depth Images by : Nikhil Vajramushti

Download or read book Efficient 3D Object Retrieval Using Depth Images written by Nikhil Vajramushti and published by . This book was released on 2004 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Efficient 3D Object Retrieval Using Depth Images Related Books

Efficient 3D Object Retrieval Using Depth Images
Language: en
Pages: 232
Authors: Nikhil Vajramushti
Categories: Image processing
Type: BOOK - Published: 2004 - Publisher:

DOWNLOAD EBOOK

View-based 3-D Object Retrieval
Language: en
Pages: 154
Authors: Yue Gao
Categories: Computers
Type: BOOK - Published: 2014-12-04 - Publisher: Morgan Kaufmann

DOWNLOAD EBOOK

Content-based 3-D object retrieval has attracted extensive attention recently and has applications in a variety of fields, such as, computer-aided design, tele-
3D Object Processing
Language: en
Pages: 210
Authors: Jean-Luc Dugelay
Categories: Science
Type: BOOK - Published: 2008-07-31 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

The arrival, and continuing evolution, of high quality 3D objects has been made possible by recent progress in 3D scanner acquisition and 3D graphics rendering.
Features for 3D Object Retrieval
Language: en
Pages:
Authors: Cristina González Delgado
Categories:
Type: BOOK - Published: 2016 - Publisher:

DOWNLOAD EBOOK

This project is focused on the object retrieval challenging field, a critical area for robotics and computer vision systems. Specifically, this project is tryin
Computer Vision, Imaging and Computer Graphics Theory and Applications
Language: en
Pages: 392
Authors: Dominique Bechmann
Categories: Computers
Type: BOOK - Published: 2019-07-23 - Publisher: Springer

DOWNLOAD EBOOK

This book constitutes thoroughly revised and selected papers from the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theo