Sequential robust direct motion estimation with equal projective basis

Jong Eun Ha; Dong Joong Kang; Muh Ho Jeong

doi:10.1007/978-3-540-30541-5_27

Sequential robust direct motion estimation with equal projective basis

Jong Eun Ha, Dong Joong Kang, Muh Ho Jeong

Dept. of Mechanical & Automotive Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

This paper presents sequential robust direct motion estimation algorithm for the processing of uncalibrated dynamic image sequences. Through the propagation of the projective structures of the first two frames, we guarantee projective information under an equal basis. Since proposed algorithm yields projective information under equal basis, we could directly use these outputs for the metric recovery through self-calibration and motion segmentation using trifocal tenor.

Original language	English
Pages (from-to)	214-221
Number of pages	8
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3331
DOIs	https://doi.org/10.1007/978-3-540-30541-5_27
State	Published - 2004

Keywords

Projective basis
Sequential motion estimation
Uncalibrated

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10.1007/978-3-540-30541-5_27

Cite this

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title = "Sequential robust direct motion estimation with equal projective basis",

abstract = "This paper presents sequential robust direct motion estimation algorithm for the processing of uncalibrated dynamic image sequences. Through the propagation of the projective structures of the first two frames, we guarantee projective information under an equal basis. Since proposed algorithm yields projective information under equal basis, we could directly use these outputs for the metric recovery through self-calibration and motion segmentation using trifocal tenor.",

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AU - Kang, Dong Joong

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AB - This paper presents sequential robust direct motion estimation algorithm for the processing of uncalibrated dynamic image sequences. Through the propagation of the projective structures of the first two frames, we guarantee projective information under an equal basis. Since proposed algorithm yields projective information under equal basis, we could directly use these outputs for the metric recovery through self-calibration and motion segmentation using trifocal tenor.

KW - Projective basis

KW - Sequential motion estimation

KW - Uncalibrated

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DO - 10.1007/978-3-540-30541-5_27

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JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ER -

Sequential robust direct motion estimation with equal projective basis

Abstract

Keywords

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