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| A Combined Cost Algorithm Based on Adaptive Parameter |
| LI Hai-bin,DONG Yu,LI Ya-qian |
| Key Laboratory of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao, Hebei 066004, China |
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Abstract Due to the limitations of single matching cost algorithm and the bad adaptive of fixed parameter combined method, a new combined cost based on adaptive parameters is presented. Firstly, sum of absolute difference and census algorithm were used to calculate the matching cost for each pixel separately. Secondly, the mean and standard deviation of cost for each pixel within the disparity range were calculated, and then the weight is obtained. Finally, the two algorithms together with the corresponding weight were combined, and then the new cost function is obtained. Experimental results show that the proposed method is better than single algorithm of matching error rate (reduced about 12%). And the cost function combines advantages of different algorithms in weak texture, repetition texture and changing illumination situations.
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Received: 31 March 2015
Published: 19 April 2017
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2017, Vol. 38 
