Presentation	2007-09-03 Reducing the Complexity of Projective Reconstruction for Self-Calbration Hanno Ackermann, Hirotaka Niitsuma, Kenichi Kanatani,
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Abstract(in English)	We present a new method for efficient computation of projective reconstruction, which dominates the execution time of self-calibration for 3-D reconstruction from feature point tracking over a video sequence. In our previous paper, we achieved significant speedup by accelerating iteration computations. In this paper, we reduce the number of arithmetic operations by carefully analyzing the computational complexity and modifying the procedure. Using simulated and real video images, we demonstrate that our method can achieve efficiency equivalent to or even higher than our previous method.
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Paper #	PRMU2007-58,HIP2007-67
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Committee	HIP
Conference Date	2007/8/27(1days)
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Registration To	Human Information Processing (HIP)
Language	JPN
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Title (in English)	Reducing the Complexity of Projective Reconstruction for Self-Calbration
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1st Author's Name	Hanno Ackermann
1st Author's Affiliation	Department of Computer Science, Okayama University()
2nd Author's Name	Hirotaka Niitsuma
2nd Author's Affiliation	Department of Computer Science, Okayama University
3rd Author's Name	Kenichi Kanatani
3rd Author's Affiliation	Department of Computer Science, Okayama University
Date	2007-09-03
Paper #	PRMU2007-58,HIP2007-67
Volume (vol)	vol.107
Number (no)	207
Page	pp.pp.-
#Pages	8
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