TY - JOUR
T1 - “Measurement Matrix Interpolation Based on Projective Reconstruction for Factorization Method”
AU - Kamijima, Shigeharu
AU - Saito, Hideo
PY - 2004
Y1 - 2004
N2 - The factorization method by Tomasi and Kanade simultaneously recovers camera motion and object shape from an image sequence. This method is robust because the solution is linear by assuming the orthographic camera model. However, the only feature points that are tracked throughout the image sequence can be reconstructed, it is difficult to recover whole object shape by the factorization method. In this paper, we propose a new method to interpolate feature tracking so that even the loci of unseen feature points can be used as inputs of the factorization for object shape reconstruction. In this method, we employ projective reconstruction to interpolate un-tracked feature points. All loci of all detected feature points throughout the input image sequence provide correct reconstructed shape of the object via the factorization. The results of reconstruction are evaluated by the experiment using synthetic images and real images.
AB - The factorization method by Tomasi and Kanade simultaneously recovers camera motion and object shape from an image sequence. This method is robust because the solution is linear by assuming the orthographic camera model. However, the only feature points that are tracked throughout the image sequence can be reconstructed, it is difficult to recover whole object shape by the factorization method. In this paper, we propose a new method to interpolate feature tracking so that even the loci of unseen feature points can be used as inputs of the factorization for object shape reconstruction. In this method, we employ projective reconstruction to interpolate un-tracked feature points. All loci of all detected feature points throughout the input image sequence provide correct reconstructed shape of the object via the factorization. The results of reconstruction are evaluated by the experiment using synthetic images and real images.
KW - 3D Shape Reconstruction
KW - Factorization Method
KW - Projected Position Estimation
KW - Projective Reconstruction
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U2 - 10.11371/iieej.33.576
DO - 10.11371/iieej.33.576
M3 - Article
AN - SCOPUS:85024734513
VL - 33
SP - 576
EP - 585
JO - Journal of the Institute of Image Electronics Engineers of Japan
JF - Journal of the Institute of Image Electronics Engineers of Japan
SN - 0285-9831
IS - 3
ER -