3D surface estimation and model construction from specular motion in image sequences

被引:0
|
作者
Zheng, JY
Fukagawa, Y
Abe, N
机构
[1] Kyushu Inst of Technology, Fukuoka, Japan
关键词
specular motion; highlight; shape estimation; model recovery; epipolar-plane images; qualitative shape identification;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This work reconstructs a 3D graphics model of an object with specular surfaces by its rotation. Continuous images are taken to measure highlights on the smooth surfaces and their motion. Coplanar extended lights determine a plane of rays to produce a highlight stripe on the object. 3D surfaces are then recovered from the moving stripe. We investigate global motion characteristics of the highlights in the Epipolar-plane images so as to qualitatively identify surface types and control the modeling process. Under single and multiple plane-of-rays illuminations, we give two quantitative approaches for surface and normal recovery which use highlight orientation in the image and highlight motion in the Epipolar-Plane images. The computations employ a first-order differential equation and linear equations, respectively.
引用
收藏
页码:513 / 520
页数:8
相关论文
共 50 条
  • [1] Specular motion and 3D shape estimation
    Doevencioglu, Dicle N.
    Ben-Shahar, Ohad
    Barla, Pascal
    Doerschner, Katja
    JOURNAL OF VISION, 2017, 17 (06):
  • [2] 3D STRUCTURE AND MOTION ESTIMATION FROM 2D IMAGE SEQUENCES
    TAN, TN
    BAKER, KD
    SULLIVAN, GD
    IMAGE AND VISION COMPUTING, 1993, 11 (04) : 203 - 210
  • [3] 3D Pose Estimation for foot motion tracking from image sequences
    Jung, Da-Un
    Yun, Yong-In
    Choi, Jong-Soo
    IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE 2011), 2011, : 795 - 796
  • [4] 3D MORPHOLOGICAL SEGMENTATION AND MOTION ESTIMATION FOR IMAGE SEQUENCES
    PARDAS, M
    SALEMBIER, P
    SIGNAL PROCESSING, 1994, 38 (01) : 31 - 43
  • [5] 3D motion and structure from image sequences
    1600, Publ by Elsevier Science Publishers B.V., Amsterdam, Neth
  • [6] A Kalman-filtering method for 3D camera motion estimation from image sequences
    Kim, ET
    Han, JK
    Kim, HM
    INTERNATIONAL CONFERENCE ON IMAGE PROCESSING - PROCEEDINGS, VOL III, 1997, : 630 - 633
  • [7] Rigid and non-rigid 3D motion estimation from multiview image sequences
    Ploskas, N
    Simitopoulos, D
    Tzovaras, D
    Triantafyllidis, GA
    Strintzis, MG
    SIGNAL PROCESSING-IMAGE COMMUNICATION, 2003, 18 (03) : 185 - 202
  • [8] 3D model based non-rigid motion estimation for multiview image sequences compression
    Kompatsiaris, I
    Tzovaras, D
    Strintzis, MG
    VISUAL COMMUNICATIONS AND IMAGE PROCESSING '98, PTS 1 AND 2, 1997, 3309 : 326 - 337
  • [9] Estimation of 3D structure and motion from image corners
    Liu, YC
    Zhang, XY
    Huang, TS
    PATTERN RECOGNITION, 2003, 36 (06) : 1269 - 1277
  • [10] 3D Reconstruction of Human Motion from Monocular Image Sequences
    Wandt, Bastian
    Ackermann, Hanno
    Rosenhahn, Bodo
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2016, 38 (08) : 1505 - 1516