TY - GEN
T1 - A compact factored representation of heterogeneous subsurface scattering
AU - Peers, Pieter
AU - Vom Berge, Karl
AU - Matusik, Wojciech
AU - Ramamoorthi, Ravi
AU - Lawrence, Jason
AU - Rusinkiewicz, Szymon
AU - Dutré, Philip
PY - 2006
Y1 - 2006
N2 - Many translucent materials exhibit heterogeneous subsurface scattering, which arises from complex internal structures. The acquisition and representation of these scattering functions is a complex problem that has been only partially addressed in previous techniques. Unlike homogeneous materials, the spatial component of heterogeneous subsurface scattering can vary arbitrarily over surface locations. Storing the spatial component without compression leads to impractically large datasets. In this paper, we address the problem of acquiring and compactly representing the spatial component of heterogeneous subsurface scattering functions. We propose a material model based on matrix factorization that can be mapped onto arbitrary geometry, and, due to its compact form, can be incorporated into most visualization systems with little overhead. We present results of several real-world datasets that are acquired using a projector and a digital camera.
AB - Many translucent materials exhibit heterogeneous subsurface scattering, which arises from complex internal structures. The acquisition and representation of these scattering functions is a complex problem that has been only partially addressed in previous techniques. Unlike homogeneous materials, the spatial component of heterogeneous subsurface scattering can vary arbitrarily over surface locations. Storing the spatial component without compression leads to impractically large datasets. In this paper, we address the problem of acquiring and compactly representing the spatial component of heterogeneous subsurface scattering functions. We propose a material model based on matrix factorization that can be mapped onto arbitrary geometry, and, due to its compact form, can be incorporated into most visualization systems with little overhead. We present results of several real-world datasets that are acquired using a projector and a digital camera.
KW - image-based acquisition
KW - non-negative matrix factorization
KW - subsurface scattering
UR - http://www.scopus.com/inward/record.url?scp=46749107042&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=46749107042&partnerID=8YFLogxK
U2 - 10.1145/1179352.1141950
DO - 10.1145/1179352.1141950
M3 - Conference contribution
AN - SCOPUS:46749107042
SN - 1595933646
SN - 9781595933645
T3 - ACM SIGGRAPH 2006 Papers, SIGGRAPH '06
SP - 746
EP - 753
BT - ACM SIGGRAPH 2006 Papers, SIGGRAPH '06
T2 - ACM SIGGRAPH 2006 Papers, SIGGRAPH '06
Y2 - 30 July 2006 through 3 August 2006
ER -