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Distortion Invariant Binary Image Recognition Based on central projection Correlation

Chinese Journal of Lasers 2001年第4期 42-48页

作者： WU Yaming XIAO Yanping SUN Fanghong  FANG Nian (School of Communication and Information Engineering, Shanghai University, Shanghai 200072, China) Received Aug. 9, 2000 Revised manuscript received Dec. 20, 2000

A method of central projection correlation which is invariant to distortion of shift, scale and rotation of the binary target image is proposed. A 2 D binary image is transformed into an 1 D central projection referring to the centroid of the binary image. The distortion invariant central projection correlation is successfully performed by computer simulations and its optical implementation is presented.

关键词： central projection distortion invariant image recognition optical matched filter correlation

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New Constructions in Axonometric System Fundamentals

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Journal of Civil Engineering and Architecture 2012年第5期6卷 620-626页

作者： Lazaro Gimena Faustino N Gimena and Pedro Gonzaga Department of Projects Engineering Public University of Navarre Campus Arrosadia C.P. 31006 Pamplona Navarre Spain

In this communication we start both from a trirectangular trihedral defined by the three coordinate planes and a fourth plane, called the chart or projection, which contains the vertex of the trihedral above. Later we define the main related views or trihedral views as those produced by the tilt of the three coordinate planes to the outside of their trihedral on the chart plane. For each projection plane there are some unique main related views, regardless of the projection direction. In turn, from the trihedral views we can obtain the axonometric perspective from which they come. These properties can simplify some graphic constructions of the axonometric system, for example, determine the projections of the axes from the main related views or determine the axonometric scales from the axes. It is considered that this new definition of related views allows a simplification as to the understanding of the representation systems and it is intended to be suitable for teaching purposes and programming.

关键词： Axonometric system central projection main related views.

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Spherical Camera Model for Divergent Camera Cluster

Spherical Camera Model for Divergent Camera Cluster

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第24届中国控制与决策会议

作者： Guofeng Tong, Jiuhong Gu, Xiaolong Liu, Hairong Li School of Information Science and Engineering, Northeastern University, Shenyang, 110819

This paper presents a spherical camera model with a single effective viewpoint constraint for divergent camera cluster. We define a spherical projection as the method of representing a space point on a sphere surface using central projection. Therefore, it is reasonable to consider a divergent camera cluster as a single model to solve problems in computer vision. In order to construct the spherical camera model, we propose a solution to meet the constraint conditions, including the realization of the unique universal optical center, all fields of view covered and the uniform resolution. It proves that the spherical camera model is reasonable for divergent camera cluster.

关键词： camera model camera cluster central projection

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