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.