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  1. 124 情報理工学系研究科
  2. 40 電子情報学専攻
  3. 1244025 修士論文(電子情報学専攻)
  1. 0 資料タイプ別
  2. 20 学位論文
  3. 025 修士論文

Photometric Stereo with Auto-Radiometric Calibration

http://hdl.handle.net/2261/54209
e511b0eb-e93a-43bf-91de-edd0fe5ec89a
名前 / ファイル ライセンス アクション
48116443.pdf 48116443.pdf (6.0 MB)
Item type 学位論文 / Thesis or Dissertation(1)
公開日 2013-05-07
タイトル
タイトル Photometric Stereo with Auto-Radiometric Calibration
言語
言語 eng
資源タイプ
資源 http://purl.org/coar/resource_type/c_46ec
タイプ thesis
その他のタイトル
その他のタイトル カメラ応答関数の自動校正を伴う照度差ステレオ
著者 Mongkulmann, Wiennat

× Mongkulmann, Wiennat

WEKO 10565

Mongkulmann, Wiennat

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著者別名
識別子
識別子 10566
識別子Scheme WEKO
姓名
姓名 モンコンマーン, ウィーンナート
著者所属
著者所属 東京大学大学院情報理工学系研究科電子情報学専攻
著者所属
著者所属 Department of Information and Communication Engineering, Graduate School of Information Science and Technology, The University of Tokyo
Abstract
内容記述タイプ Abstract
内容記述 This thesis presents photometric stereo with auto-radiometric calibration to estimate surface orientations from a sequence of object images taken under different lighting directions with a radiometrically uncalibrated camera. The original photometric stereo assumes the images are captured by a camera with a linear response function. However, cameras often have a non-linear response function, and thus, the radiometric calibration is required to cancel the effect of nonlinear response function before taking images which are later used for physics-based analysis of the scene. Unfortunately, the radiometric calibration is a time-consuming pre-process requiring many additional images. The goal of this study is to achieve photometric stereo with auto-radiometric calibration that can estimate surface orientations from radiometrically uncalibrated images with no additional image required. With this method, one can apply photometric stereo with images taken by a camera whose response function is unknown. The key idea behind this work is to make use of the consistency between the irradiance converted from the inverse response function and the irradiance estimated from a reflection model, more specifically, Lambertian model in this work. Consequently, a linear optimization problem can be formulated to estimate the surface normals of a Lambertian surface and the response function simultaneously. To handle non-Lambertian surfaces, the proposed method is further extended for discarding specular highlights with a RANSAC-like approach where surface orientations and a camera response function can be estimated simultaneously in the face of specular highlights. Experiments were conducted using both synthetic objects and real objects, demonstrating the effectiveness of the proposed method successfully.
書誌情報 発行日 2013-03-25
学位名
学位名 修士(情報理工学)
学位
値 master
研究科・専攻
情報理工学系研究科・電子情報学専攻
学位授与年月日
学位授与年月日 2013-03-25
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