Integration for 3D structure/motion estimation based on line drawings

被引:0
|
作者
Yang, L [1 ]
Sahli, H [1 ]
机构
[1] Free Univ Brussels, Dept Elect & Informat Proc, IRIS, ETRO, B-1050 Brussels, Belgium
关键词
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
A general framework for 3D structure/motion analysis is proposed upon integrations of different. visual modules. Line drawings are analyzed from motion point of view, and provide an effective means for 3D reconstruction. 2D motion based and feature correspondences based approaches, are efficiently integrated with the line drawing interpretations under our framework. Normal flow of line segment is employed here to characterize 2D motion and the weighted finite difference method is used for its estimation, in, a simple and practical way. To implement the proposed integration model, an incremental scheme is developed to estimate 3D structure/motion from a sequence of images. Experiments on scenes containing polyhedral objects demonstrate the feasibility of the proposed scheme, and show that the integration of different visual modules gives better 3D structure/motion estimations.
引用
收藏
页码:A413 / A416
页数:4
相关论文
共 50 条
  • [21] Line-Based Optimization for 3D Object Reconstruction from Single Line Drawings
    Chu, Jun
    Gao, Mantun
    Zhang, Guimei
    Feng, Ruina
    INFORMATION TECHNOLOGY FOR MANUFACTURING SYSTEMS, PTS 1 AND 2, 2010, : 910 - +
  • [22] 3D MOTION ESTIMATION FOR 3D VIDEO CODING
    Paul, Manoranjan
    Gao, Junbin
    Anotolovich, Michael
    2012 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2012, : 1189 - 1192
  • [23] 3D motion estimation of hand based on feature points
    Huang, Wen-Qing
    Chen, Hong-Wei
    Zhang, Yun-Hua
    PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2006, : 3919 - +
  • [24] Object articulation based on local 3D motion estimation
    Kompatsiaris, I
    Tzovaras, D
    Strintzis, MG
    MULTIMEDIA APPLICATIONS, SERVICES AND TECHNIQUES - ECMAST'99, 1999, 1629 : 378 - 391
  • [25] Model-based estimation of 3D human motion
    Kakadiaris, I
    Metaxas, D
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2000, 22 (12) : 1453 - 1459
  • [26] Motion based estimation and representation of 3D surfaces and boundaries
    Nordberg, Klas
    Viksten, Fredrik
    COMPLEX MOTION, 2007, 3417 : 146 - +
  • [27] 3D motion and scene structure estimation with motion dependent distortion of measurement windows
    Steinbach, E
    Hanjalic, A
    Girod, B
    INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, PROCEEDINGS - VOL I, 1996, : 61 - 64
  • [28] On-line 3D motion estimation using low resolution MRI
    Glitzner, M.
    de Senneville, B. Denis
    Lagendijk, J. J. W.
    Raaymakers, B. W.
    Crijns, S. P. M.
    PHYSICS IN MEDICINE AND BIOLOGY, 2015, 60 (16): : N301 - N310
  • [29] 3D MOTION ESTIMATION FROM COMBINED 2D-3D DATA OF LINE SEGMENTS
    XIE, M
    PATTERN RECOGNITION LETTERS, 1993, 14 (03) : 191 - 197
  • [30] Estimation of Scale and Slope Information for Structure from Motion-based 3D Map
    Shao, Yuyang
    Ji, Yonghoon
    Fujii, Hiromitsu
    Nagatani, Keiji
    Yamashita, Atsushi
    Asama, Hajime
    2017 IEEE/SICE INTERNATIONAL SYMPOSIUM ON SYSTEM INTEGRATION (SII), 2017, : 208 - 213