Generation of 3D model with super resolved texture from image sequence

Kenji Nakamura, Hideo Saito, Shinji Ozawa

研究成果: Conference article

2 引用 (Scopus)

抜粋

In this paper, we propose a method for reconstruction of 3D shape with super resolved texture of book surface by integrating shape that is recovered from an image sequence taken with moving camera. The image sequence is divided into a number of blocks. The factorization method is applied to each block for obtaining a part of 3D shape of the object. The 3D shapes reconstructed from the block of the sequence are merged into one integrated 3D Model. In this time we generate super resolved texture using multiple images. For the merging, position and pose of each 3D shape is adjusted based on the surface normal of the overlapped area. The merged 3D model of all region of the book surface is shown for demonstrating the effectiveness of the proposed method. Furthermore we generate super resolved texture finer than original image using multiple images.

元の言語English
ページ(範囲)1406-1411
ページ数6
ジャーナルProceedings of the IEEE International Conference on Systems, Man and Cybernetics
2
出版物ステータスPublished - 2000 12 1
イベント2000 IEEE Interantional Conference on Systems, Man and Cybernetics - Nashville, TN, USA
継続期間: 2000 10 82000 10 11

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Hardware and Architecture

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