Additional evidence that contour attributes are not essential cues for object recognition

被引:0
|
作者
Ernest Greene
机构
[1] University of Southern California,Laboratory for Neurometric Research, Department of Psychology
[2] Neuropsychology Foundation,undefined
关键词
Receptive Field; Linear Extent; Display Board; Full Inventory; Present Test Condition;
D O I
暂无
中图分类号
学科分类号
摘要
It is believed that certain contour attributes, specifically orientation, curvature and linear extent, provide essential cues for object (shape) recognition. The present experiment examined this hypothesis by comparing stimulus conditions that differentially provided such cues. A spaced array of dots was used to mark the outside boundary of namable objects, and subsets were chosen that contained either contiguous strings of dots or randomly positioned dots. These subsets were briefly and successively displayed using an MTDC information persistence paradigm. Across the major range of temporal separation of the subsets, it was found that contiguity of boundary dots did not provide more effective shape recognition cues. This is at odds with the concept that encoding and recognition of shapes is predicated on the encoding of contour attributes such as orientation, curvature and linear extent.
引用
收藏
相关论文
共 50 条
  • [21] Information persistence in the integration of partial cues for object recognition
    Ernest Greene
    [J]. Perception & Psychophysics, 2007, 69 : 772 - 784
  • [22] ADDITIONAL EVIDENCE FOR VERIDICALITY OF PERCEPTIONS BASED ON PHYSIOGNOMIC CUES
    TERRY, RL
    [J]. PERCEPTUAL AND MOTOR SKILLS, 1975, 40 (03) : 780 - 782
  • [23] Fusing stereoscopic depth and region cues for object recognition
    Reno, AL
    Booth, DM
    [J]. PROCEEDINGS OF THE FIFTH JOINT CONFERENCE ON INFORMATION SCIENCES, VOLS 1 AND 2, 2000, : A115 - A118
  • [24] Simulation and weights of multiple cues for robust object recognition
    Aboutalib, Sarah
    Veloso, Manuela
    [J]. 2007 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-9, 2007, : 2415 - 2420
  • [25] The use of recognition information and additional cues in inferences from memory
    Bröder, A
    Eichler, A
    [J]. ACTA PSYCHOLOGICA, 2006, 121 (03) : 275 - 284
  • [26] An Approach to Object Contour Completion By Combining High Level and Low Level Cues
    Loke, K. S.
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS-TAIWAN (ICCE-TW), 2016, : 1 - 2
  • [27] Modulation of viewpoint effects in object recognition by shape and motion cues
    Vuong, Quoc C.
    Friedman, Alinda
    Plante, Courtney
    [J]. PERCEPTION, 2009, 38 (11) : 1628 - 1648
  • [28] Combining Texture and Shape Cues for Object Recognition with Minimal Supervision
    Peng, Xingchao
    Saenko, Kate
    [J]. COMPUTER VISION - ACCV 2016, PT IV, 2017, 10114 : 256 - 272
  • [29] Identifying visual attributes for object recognition from text and taxonomy
    Tirkaz, Caglar
    Eisenstein, Jacob
    Sezgin, T. Metin
    Yanikoglu, Berrin
    [J]. COMPUTER VISION AND IMAGE UNDERSTANDING, 2015, 137 : 12 - 23
  • [30] Extraction of attributes for visual object recognition and DNA microarray analysis
    Gadat, Sebastien
    [J]. 2005 IEEE/SP 13th Workshop on Statistical Signal Processing (SSP), Vols 1 and 2, 2005, : 1287 - 1291