DocumentCode
3625432
Title
A Benchmarking Dataset for Performance Evaluation of Automatic Surface Reconstruction Algorithms
Author
Anke Bellmann;Olaf Hellwich;Volker Rodehorst;Ulas Yilmaz
Author_Institution
Computer Vision & Remote Sensing, Berlin University of Technology, Franklinstr. 28/29, FR 3-1, 10587 Berlin, Germany. bellmann@cs.tu-berlin.de
fYear
2007
fDate
6/1/2007 12:00:00 AM
Firstpage
1
Lastpage
8
Abstract
Numerous techniques were invented in computer vision and photogrammetry to obtain spatial information from digital images. We intend to describe and improve the performance of these vision techniques by providing test objectives, data, metrics and test protocols. In this paper we propose a comprehensive benchmarking dataset for evaluating a variety of automatic surface reconstruction algorithms (shape-from-X) and a methodology for comparing their results.
Keywords
"Surface reconstruction","Reconstruction algorithms","Calibration","Robot vision systems","Digital cameras","CMOS image sensors","Pixel","Computer vision","Testing","Image reconstruction"
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 2007. CVPR ´07. IEEE Conference on
ISSN
1063-6919
Print_ISBN
1-4244-1179-3
Type
conf
DOI
10.1109/CVPR.2007.383349
Filename
4270347
Link To Document