HMM-based surface reconstruction from single images

Takayuki Nagai, Tadashi Naruse, Masaaki Ikehara, Akira Kurematsu

Research output: Contribution to conferencePaperpeer-review

34 Citations (Scopus)

Abstract

In this paper, a novel method of the surface reconstruction from a single monocular image is proposed. Our proposed approach (called shape from knowledge) is based on the knowledge of objects, which is acquired by learning from a number of samples. To achieve this, we investigate making use of the Hidden Markov Model (HMM) framework, which models the correspondence between an intensity image and its depth information. We have applied our algorithm to the 3-D face and 3-D hand reconstruction from single images, and the results show the effectiveness of the proposed method.

Original languageEnglish
PagesII/561-II/564
Publication statusPublished - 2002 Jan 1
EventInternational Conference on Image Processing (ICIP'02) - Rochester, NY, United States
Duration: 2002 Sep 222002 Sep 25

Other

OtherInternational Conference on Image Processing (ICIP'02)
Country/TerritoryUnited States
CityRochester, NY
Period02/9/2202/9/25

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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