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Image Alignment Algorithms - Part II

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21 Apr 2008CPOL11 min read 93.4K   4.9K   75  
Implementing and comparing the forwards compositional and the Hager-Belhumeur algorithms.
Params: 0.01 0 0 1.0

===============================================
Algorithm: forwards additive.
Caclulation time: 0.875 sec.
Iteration count: 100
Approximation: wz_a=0.010186 tx_a=0.021834 ty_a=-0.051646 s_a=1.000033
Epsilon: 0.000010
Resulting mean error: 3.397880
===============================================

===============================================
Algorithm: inverse additive.
Caclulation time: 0.579 sec.
Iteration count: 100
Approximation: wz_a=0.010198 tx_a=0.027599 ty_a=-0.050938 s_a=1.000011
Epsilon: 0.000010
Resulting mean_error: 3.395847
===============================================

===============================================
Algorithm: forwards compositional.
Caclulation time: 1.093 sec.
Iteration count: 100
Epsilon: 0.000010
Resulting mean error: 3.395613
===============================================

===============================================
Algorithm: inverse compositional.
Caclulation time: 0.453 sec.
Iteration count: 100
Epsilon: 0.000010
Resulting mean_error: 7.059829
===============================================

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