Reconstructing a dynamic surface from video sequences using graph cuts in 4D space-time

Reconstructing a dynamic surface from video sequences using graph cuts in 4D space-time

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...

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Hauptverfasser: Tianli Yu, Ning Xu, Ahuja, N.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Cameras
Cost function
Image reconstruction
Immune system
Multi-stage noise shaping
Optimization methods
Reconstruction algorithms
Shape
Surface reconstruction
Video sequences
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Ning Xu
Ahuja, N.
description 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.
doi_str_mv 10.1109/ICPR.2004.1334145
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subjects Cameras
Cost function
Image reconstruction
Immune system
Multi-stage noise shaping
Optimization methods
Reconstruction algorithms
Shape
Surface reconstruction
Video sequences
title Reconstructing a dynamic surface from video sequences using graph cuts in 4D space-time
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