HMM-based surface reconstruction from single images

Takayuki Nagai; Masaaki Ikehara; Akira Kurematsu

doi:10.1002/scj.10685

HMM-based surface reconstruction from single images

Takayuki Nagai, Masaaki Ikehara, Akira Kurematsu

Department of Electronics and Electrical Engineering

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

4 Citations (Scopus)

Abstract

In this paper, a novel method of surface reconstruction from a single monocular image is proposed. Our proposed approach (called "shape from object-specific knowledge") is based on knowledge of objects, acquired by learning from a number of samples. To achieve this, we investigate the use of the Subband Pseudo 2D Hidden Markov Model (SPHMM), which is an extended version of normal Pseudo 2D HMMs. SPHMMs can model the correspondence between an intensity image and its depth information. We have applied our algorithm to 3D face, 3D hand, and 3D car reconstruction from single images, and the results show the effectiveness of the proposed method.

Original language	English
Pages (from-to)	80-89
Number of pages	10
Journal	Systems and Computers in Japan
Volume	38
Issue number	11
DOIs	https://doi.org/10.1002/scj.10685
Publication status	Published - 2007 Oct 1

Keywords

3D shape recovery
HMM
Object recognition
Object-specific knowledge

ASJC Scopus subject areas

Theoretical Computer Science
Information Systems
Hardware and Architecture
Computational Theory and Mathematics

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10.1002/scj.10685

Cite this

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AU - Nagai, Takayuki

AU - Ikehara, Masaaki

AU - Kurematsu, Akira

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AB - In this paper, a novel method of surface reconstruction from a single monocular image is proposed. Our proposed approach (called "shape from object-specific knowledge") is based on knowledge of objects, acquired by learning from a number of samples. To achieve this, we investigate the use of the Subband Pseudo 2D Hidden Markov Model (SPHMM), which is an extended version of normal Pseudo 2D HMMs. SPHMMs can model the correspondence between an intensity image and its depth information. We have applied our algorithm to 3D face, 3D hand, and 3D car reconstruction from single images, and the results show the effectiveness of the proposed method.

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HMM-based surface reconstruction from single images

Abstract

Keywords

ASJC Scopus subject areas

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