TY - GEN
T1 - Edge-preserving joint motion disparity estimation in stereo image sequences
AU - Min, Dongbo
AU - Kim, Hansung
AU - Choi, Shinwoo
AU - Sohn, Kwanghoon
N1 - Funding Information:
This work is financially supported by the Ministry of Education and Human Resources Development (MOE), the Ministry of Commerce, Industry and Energy (MOCIE) and the Ministry of Labor (MOLAB) through the fostering project of the Lab of Excellency, and is in part supported by the MIC (Ministry of Information and Communication), Korea under the ITRC (Information Technology Research Center) support program supervised by the IITA (Institute of Information Technology Assessment)" (IITA-2005-(C1090-0502-0027)).
PY - 2004
Y1 - 2004
N2 - In this paper, we propose an energy-based joint motion-disparity estimation algorithm from the calibrated stereoscopic image sequences while preserving image discontinuities. We can estimate dense motion and disparity in the same method and compute initial dense disparity of the next frame using the constraint between motion and disparity in stereo image sequence. Using energy minimization approach, the field, which are motion and disparity, can be estimated in the same method and this method produces smooth field in object area while preserving its discontinuities of image boundaries. To preserve discontinuities and overcome a classic ill-posed problem, we use the regularization term proposed by Nagel-Enkelmann. We solve the Euler-Lagrange equation to minimize the energy functional and this partial differential equation is solved by the gradient descent method which is the most popular algorithm. And to avoid convergence to irrelevant local minima during iterations, we choose the proper initial data. Our experiment is performed on real stereoscopic sequences. Our experimental results showed that the proposed algorithm provides the accurate fields and the motion and disparity maps reflect the constraint of motion and disparity and preserve discontinuities of image boundaries well.
AB - In this paper, we propose an energy-based joint motion-disparity estimation algorithm from the calibrated stereoscopic image sequences while preserving image discontinuities. We can estimate dense motion and disparity in the same method and compute initial dense disparity of the next frame using the constraint between motion and disparity in stereo image sequence. Using energy minimization approach, the field, which are motion and disparity, can be estimated in the same method and this method produces smooth field in object area while preserving its discontinuities of image boundaries. To preserve discontinuities and overcome a classic ill-posed problem, we use the regularization term proposed by Nagel-Enkelmann. We solve the Euler-Lagrange equation to minimize the energy functional and this partial differential equation is solved by the gradient descent method which is the most popular algorithm. And to avoid convergence to irrelevant local minima during iterations, we choose the proper initial data. Our experiment is performed on real stereoscopic sequences. Our experimental results showed that the proposed algorithm provides the accurate fields and the motion and disparity maps reflect the constraint of motion and disparity and preserve discontinuities of image boundaries well.
KW - Discontinuities
KW - Energy model
KW - Euler-Lagrange equation
KW - Joint estimation
UR - http://www.scopus.com/inward/record.url?scp=10444265830&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:10444265830
SN - 088986442X
T3 - Sixth IASTED International Conference on Signal and Image Processing
SP - 471
EP - 476
BT - Sixth IASTED International Conference on Signal and Image Processing
A2 - Hamza, M.H.
Y2 - 23 August 2004 through 25 August 2004
ER -