MODEL-BASED 3D-MOTION ESTIMATION WITH ILLUMINATION COMPENSATION

masonchung

P. Eisert and B. Girod
* ~5 E  O; j  z9 A, P3 tUniversity of Erlangen-Nuremberg, Germany
, S/ j9 l5 r* p: B
In this paper we present a model-based algorithm for
9 [8 `  _7 y9 C( G) v5 c. ^0 `the estimation of three-dimensional motion parameters
of an object moving in 3D-space. Photometric
effects are taken into account by adding different illumination
" R7 d& H% l+ J6 Q' k6 h4 vmodels to the virtual scene. Using the additional
information from three-dimensional geometric
models of the scene leads to linear algorithms for
. J9 t$ O! T+ B# [& S* G5 uthe parameter estimation of the illumination models
which are all computationally efficient. Experiments
8 M, L- \+ B! ?! \0 c8 x0 Xshow that the Peak Signal Noise Ratio (PSNR) between
camera and reconstructed synthetic images can
) \$ z: V9 T! j/ k* lbe increased by up to 7 dB compared to global illumination
  o6 ^& ~, `& z0 V% ]1 R: Qcompensation. The average estimation error
of the motion parameters is at the same time reduced
, B. w. F0 D4 Y+ X. iby 40 %.

5 m, ^: Y4 y- v( X  @) g[ 本帖最後由 masonchung 於 2008-4-15 07:42 PM 編輯 ]

masonchung

Use 3D motion estimation in 3D monitor  environment?