This paper is most important topic of digital photogrammetry and introduce fast stereo matching algorithm.
標(biāo)簽： photogrammetry important introduce matching
上傳時(shí)間： 2013-12-30
上傳用戶：sdq_123
s6d0118 c program test r g b white grp
標(biāo)簽： s6d0118 program white test
上傳時(shí)間： 2016-08-23
上傳用戶：zhliu007
In this paper we describe a control methodology for catching a fast moving object with a robot manipulator, where visual information is employed to track the trajectory of the target. Sensing, planning and control are performed in real-time to cope with possible unpredictable trajectory changes of the moving target, and prediction techniques are adopted to compensate the time delays introduced by visual processing and by the robot controller. A simple but reliable model of the robot controller has been taken into account in the control architecture for improving the performance of the system. Experimental results have shown that the robot system is capable of tracking and catching an object moving on a plane at velocities of up to 700 mm/s and accelerations of up to 1500 mm/s2.
標(biāo)簽： methodology describe catching control
上傳時(shí)間： 2014-01-12
上傳用戶：qq521
machine learning related paper from msra
標(biāo)簽： learning machine related paper
上傳時(shí)間： 2016-09-19
上傳用戶：wyc199288
Using Java Netbean 6.1 to create a white board application. This application can demo how to use Java beans.
標(biāo)簽： application Netbean create Using
上傳時(shí)間： 2013-12-22
上傳用戶：skhlm
采用蟻群算法檢測(cè)圖像邊緣 This a demo program of image edge detection using ant colony, based on the paper, "An Ant Colony Optimization Algorithm For Image Edge Detection," IEEE Congress on Evolutionary Computation (CEC), pp. 751-756, Hongkong, Jun. 2008.
標(biāo)簽： detection program colony based
上傳時(shí)間： 2016-09-28
上傳用戶：cc1
This paper provides a rigorous comprehensive approach to the design of the principal software algorithmsutilized inmodern-day strapdown inertial navigationsystems: integration of angular rate into attitude, acceleration transformation/integration into velocity, and integration of velocity into position.
標(biāo)簽： comprehensive principal the approach
上傳時(shí)間： 2016-10-18
上傳用戶：蠢蠢66
3D Statistical shape analysis by SHPARM method: code and paper. From the top group at UNC.
標(biāo)簽： Statistical analysis SHPARM method
上傳時(shí)間： 2016-10-20
上傳用戶：wfl_yy
Shape registration by shape context: algorithm implemented by matlab and the paper. One of the best point matching algorithm after 2000.
標(biāo)簽： registration implemented algorithm the
上傳時(shí)間： 2016-10-20
上傳用戶：1583060504
How to write the first class paper? This document gives you a novel approach.
標(biāo)簽： approach document first class
上傳時(shí)間： 2014-01-11
上傳用戶：520
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