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
fDate :
6/1/2007 12:00:00 AM
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"
Conference_Titel :
Computer Vision and Pattern Recognition, 2007. CVPR ´07. IEEE Conference on
Print_ISBN :
1-4244-1179-3
DOI :
10.1109/CVPR.2007.383349
