【12/14(木)17時より】CiNiiの常時SSL化(HTTPS接続)について

Range image registration based on photometry 光学解析に基づく距離画像の位置合わせ

この論文にアクセスする

この論文をさがす

著者

    • Thomas, Diego トマ, ディエゴ

書誌事項

タイトル

Range image registration based on photometry

タイトル別名

光学解析に基づく距離画像の位置合わせ

著者名

Thomas, Diego

著者別名

トマ, ディエゴ

学位授与大学

総合研究大学院大学

取得学位

博士 (情報学)

学位授与番号

甲第1517号

学位授与年月日

2012-03-23

注記・抄録

博士論文

3D modeling of a real scene stands for constructing a virtual representationof the scene, generally simplified that can be used or modified atour will. Constructing such a 3D model by hand is a laborious and timeconsuming task, and automating the whole process has attracted growing interestin the computer vision field. In particular, the task of registering (i.e.aligning) different parts of the scene (called range images) acquired fromdifferent viewpoints is of crucial importance when constructing 3D models.During the last decades, researchers have concentrated their efforts on thisproblem and proposed several methodologies to automatically register rangeimages. Thereby, key-point detectors and descriptors have been utilized tomatch points across different range images using geometric features or texturalfeatures. Several similarity metrics have also been proposed to identifythe overlapping regions. In spite of the advantages of the current methods,several limitation cases have been reported. In particular, when the scenelacks in discriminative geometric features, the difficulty of accounting forthe changes in appearance of the scene observed in different poses, or fromdifferent viewpoints, significantly degrades the performance of the currentmethods. We address this issue by investigating the use of photometry (i.e.the relationship between geometry, reflectance properties and illumination)for range image registration. First, we propose a robust descriptor usingalbedo that is permissive to errors in the illumination estimation. Second,we propose an albedo extraction technique for specular surfaces that enlargesthe range of materials we can deal with. Third, we propose a photometricmetric under unknown lighting that allows registration of range images withoutany assumptions on the illumination. With these proposed methods, wesignificantly enlarge the practicability and range of applications of rangeimage registration.

1アクセス

各種コード

  • NII論文ID(NAID)
    500000564023
  • NII著者ID(NRID)
    • 8000000566246
  • 本文言語コード
    • eng
  • NDL書誌ID
    • 024027793
  • データ提供元
    • 機関リポジトリ
    • NDL-OPAC
ページトップへ