Summary: Reconstructing a Dynamic Surface from Video
Sequences Using Graph Cuts in 4D Space-Time
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Abstract
This paper is concerned with the problem of
dynamically reconstructing the 3D surface of an object
undergoing non-rigid motion. The problem is cast as
reconstructing a continuous optimal 3D hyper-surface
in 4D space-time from a set of calibrated video
sequences. The imaging model of video cameras in 4D
space-time is derived and a photo-inconsistency cost
function is defined for a hyper-surface in the 4D
space-time. We use a 4D node-cut algorithm to find a
global minimum of the cost function and obtain the
corresponding optimal hyper-surface. Experimental
results show that the proposed algorithm is effective in
recovering continuously changing shapes and exhibits
good noise resistance.

Source: Ahuja, Narendra - Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign

Collections: Computer Technologies and Information Sciences; Engineering