Luminance binocular disparity for 3D surface simulation

被引:8
|
作者
Paillé, D [1 ]
Monot, A [1 ]
Dumont-Bècle, P [1 ]
Kemeny, A [1 ]
机构
[1] Museum Natl Hist Nat, Lab Photobiol, F-75231 Paris, France
来源
关键词
binocular vision; binocular rivalry; depth perception; texture; metallic paint;
D O I
10.1117/12.429536
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Different stereoscopic effects, based on 100% binocular luminance contrast have been described previously (O'Shea & Blake, 1987; Howard, 1995): the "sieve" effect, the "binocular lustre" effect, the "floating" effect and the "rivaldepth" effect. By mean of a dichoptic set-up, we have measured the detection thresholds for these different effects in function of binocular luminance contrast. Psychometric data have been recorded using a Yes-No paradigm, a spatial 2AFC paradigm and a temporal 2AFC paradigm. Our results show that even for small contrasts all these stereoscopic effects are perceived. We have noticed an increase of the detection thresholds in the following order: "sieve", "binocular lustre", "rivaldepth" and "floating" effect. Two groups have been distinguished: Group 1: "sieve" and "binocular lustre" effects, processed by mechanisms based on summation and binocular rivalry; Group 2: "floating" and "rivaldepth" effects, processed, by fusional vergence, in addition to these mechanisms. These results brought up the question of the existence of luminance disparity detectors and of their relations with spatial disparity detectors. Some of these effects are present during the observation of metallic coatings. These surface simulation data will be used for metallic paint characterization and rendering, using Renault's real time Virtual Presentation of vehicles tool.
引用
收藏
页码:622 / 633
页数:12
相关论文
共 50 条
  • [41] 3D reconstruction of specular surface by combined binocular vision and zonal wavefront reconstruction
    Leung, Yuk-Ching
    Cai, Lilong
    Applied Optics, 2020, 59 (28): : 8526 - 8539
  • [42] 3D Simulation of Large Hull Shell Surface based on 3D Digital Video
    Zhong, Jinglin
    JOURNAL OF COASTAL RESEARCH, 2019, : 143 - 148
  • [43] NEW ALGORITHMS FOR 3D SURFACE DESCRIPTION FROM BINOCULAR STEREO USING INTEGRATION
    KUMAR, KS
    DESAI, UB
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 1994, 331B (05): : 531 - 554
  • [44] 3D reconstruction of specular surface by combined binocular vision and zonal wavefront reconstruction
    Leung, Yuk-Ching
    Cai, Lilong
    APPLIED OPTICS, 2020, 59 (28) : 8526 - 8539
  • [45] Calibration of 3D reconstruction system for liver surface based on binocular structured light
    Zhang F.
    Chen L.
    Yang X.
    Xue F.
    Sun L.
    Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University, 2022, 43 (10): : 1391 - 1398
  • [46] Extracting 3D structure from disparity
    Orban, Guy A.
    Janssen, Peter
    Vogels, Rufin
    TRENDS IN NEUROSCIENCES, 2006, 29 (08) : 466 - 473
  • [47] Orientation Disparity: A Cue for 3D Orientation?
    Greenwald, Hal S.
    Knill, David C.
    NEURAL COMPUTATION, 2009, 21 (09) : 2581 - 2604
  • [48] Nonlinear Disparity Mapping for Stereoscopic 3D
    Lang, Manuel
    Hornung, Alexander
    Wang, Oliver
    Poulakos, Steven
    Smolic, Aljoscha
    Gross, Markus
    ACM TRANSACTIONS ON GRAPHICS, 2010, 29 (04):
  • [49] Temporal integration of binocular disparity depends on surface orientation
    Hibbard, PB
    Bradshaw, MF
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 1999, 40 (04) : S417 - S417
  • [50] Evidence for surface-based processing of binocular disparity
    Glennerster, A
    McKee, SP
    Birch, MD
    CURRENT BIOLOGY, 2002, 12 (10) : 825 - 828