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基于透视不变量的平面曲线的识别 被引量:2

RECOGNITION OF PLANAR CURVES BASED ON PERSPECTIVE INVARIANTS
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摘要 本文提出了一种快速有效的空间平面曲线的识别方法。在这种方法中,从单幅图像提取表征曲线形状的描述子,该描述子由曲线上透视不变点之间的射影距离不变量构成,且不受物体和摄象机之间的位置、方向以及摄象机物理参数的影响,因此这种识别方法不受图象透视的限制。本文用一组真实的平面物体进行了识别实验,结果表明这些形状描述子对空间平面曲线的识别有很好的性能。 An effective method for recognition of planar curves is presented in the paper. In the method shape descriptors are extracted from single view image and constructed by projective distances between perspectively invariant points on the curves. The descriptors are unaffected by the position and orientation of the curves with respect to the camera, and the intrinsic parameters of the camera. As a result, the recognition method is immune from all the perspective effects. The shape descriptors were tested on recognition of planar curve objects. The results of the tests show that the descriptors developed in the paper have very powerful performances for recognition of planar curves.
出处 《模式识别与人工智能》 EI CSCD 北大核心 1995年第2期108-113,共6页 Pattern Recognition and Artificial Intelligence
基金 国家自然科学基金(69275004)
关键词 平面曲线 识别 机器视觉 透视不变量 Perspective Invariant, Projective Distance, Shape Description, Curve Recognition.
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二级参考文献5

  • 1Guo Lei,IEEE Trans RA,1990年,6卷,4期
  • 2王碧泉,模式识别.理论、方法和应用,1989年
  • 3丘维声,解析几何,1988年
  • 4Ma Jun,CVGIP,1986年,34卷,282页
  • 5Hu M K,IEEE Trans IT,1962年,8卷,179页

共引文献5

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  • 1郑君里 杨行峻.人工神经网络[M].北京:高等教育出版社,1992..
  • 2[1]HU M K.Visual pattern recognition by moment invariant[J]. IRE Trans Information Theory,1962, 8(2): 179-187.
  • 3[5]SEITER M, WAXMAN A M. Adaptive 3D object recognition from multiple views[J].IEEE Trans on Pattern Analysis and Machine Intelligence, 1992, 14 (2): 107-124.
  • 4[6]HALL C F, HALL E L. A non-linear model for the spatial characteristics of the human visual system[J]. IEEE Trans on Systems, Man and Cybernetic, 1979, 9(3): 161-167.
  • 5[8]WEIMAN C F R, JUDAY R D.Tracking algorithms using log-polar mapped image coordinates[A]. SPIE Intelligent Robots and Computer Vision VIII: Algorithms and Techniques[C]. Philadelphia, USA, 1989.
  • 6[9]JURIE F. A new mog-polar mapping for space variant imaging application to face detection and tracking[J]. Pattern Recognition, 1999, 32(5): 865-875.
  • 7[10]SEIBERT M, WAXMAN A M. Recognizing faces from their parts[A]. SPIE Sensor Fusion IV: Control Paradigms and Data Structures[C]. Boston, USA, 1991.
  • 8曾刚,廖原,尹亮,胡正仪,王延平.拐点特征的提取和物体破损图象的识别[J].中国图象图形学报(A辑),1998,3(3):217-220. 被引量:4
  • 9陈燕新,戚飞虎.一种新的适合于目标识别的仿射不变量[J].红外与毫米波学报,1999,18(1):61-66. 被引量:4
  • 10宋克欧,黄凤岗,吴晖.极指数坐标栅格采样和极对数坐标映射[J].模式识别与人工智能,1999,12(4):402-407. 被引量:3

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