Paper Info
Title
Symmetric photography: exploiting data-sparseness in reflectance fields
Abstract
We present a novel technique called symmetric photography to capture real world reflectance fields. The technique models the 8D reflectance field as a transport matrix between the 4D incident light field and the 4D exitant light field. It is a challenging task to acquire this transport matrix due to its large size. Fortunately, the transport matrix is symmetric and often data-sparse. Symmetry enables us to measure the light transport from two sides simultaneously, from the illumination directions and the view directions. Data-sparseness refers to the fact that sub-blocks of the matrix can be well approximated using low-rank representations. We introduce the use of hierarchical tensors as the underlying data structure to capture this data-sparseness, specifically through local rank-1 factorizations of the transport matrix. Besides providing an efficient representation for storage, it enables fast acquisition of the approximated transport matrix and fast rendering of images from the captured matrix. Our prototype acquisition system consists of an array of mirrors and a pair of coaxial projector and camera. We demonstrate the effectiveness of our system with scenes rendered from reflectance fields that were captured by our system. In these renderings we can change the viewpoint as well as relight using arbitrary incident light fields.
Year
DOI
Venue
2006
10.2312/EGWR/EGSR06/251-262
Rendering Techniques
Keywords
DocType
ISBN
reflectance field,real world reflectance field,prototype acquisition system,symmetric photography,arbitrary incident light field,approximated transport matrix,transport matrix,light transport,exitant light field,incident light field,fast acquisition,data structure,ground truth
Conference
3-905673-35-5
Citations 
PageRank 
References 
37
1.68
23
Authors
4
Name
Order
Citations
PageRank
Gaurav Garg123220.61
Eino-Ville Talvala236226.00
Marc Levoy3102731073.33
Hendrik P. A. Lensch4147196.59