3D Depth Information Extraction Algorithm Based on Motion Estimation in Monocular Video Sequence 


Vol. 8,  No. 5, pp. 549-556, Oct.  2001
10.3745/KIPSTB.2001.8.5.549


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  Abstract

The general problems of recovering 3D from 2D imagery require the depth information for each picture element from focus. The manual creation of those 3D models is consuming time and cost expensive. The goal in this paper is to simplify the depth estimation algorithm that extracts the depth information of every region from monocular image sequence with camera translation to implement 3D video in realtime. This paper is based on the property that the motion of every point within image which taken from camera translation depends on the depth information. Full-search motion estimation based on block matching algorithm is exploited at first step and then, motion vectors are compensated for the effect by camera rotation and zooming. We have introduced the algorithm that estimates motion of objects by analysis of monocular motion picture and also calculates the average of frame depth and relative depth of region to the average depth. Simulation results show that the depth of region belongs to a near object or a distant object is in accord with relative depth that human visual system recognizes.

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  Cite this article

[IEEE Style]

J. H. Park, D. S. Jeoune, Y. W. Yoon, "3D Depth Information Extraction Algorithm Based on Motion Estimation in Monocular Video Sequence," The KIPS Transactions:PartB , vol. 8, no. 5, pp. 549-556, 2001. DOI: 10.3745/KIPSTB.2001.8.5.549.

[ACM Style]

Joon Ho Park, Dae Seong Jeoune, and Young Woo Yoon. 2001. 3D Depth Information Extraction Algorithm Based on Motion Estimation in Monocular Video Sequence. The KIPS Transactions:PartB , 8, 5, (2001), 549-556. DOI: 10.3745/KIPSTB.2001.8.5.549.

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