rookiepig / crossscalepatchmatch Goto Github PK
View Code? Open in Web Editor NEWCross-Scale Cost Aggregation for Stereo Matching (CVPR 2014 + TCSVT 2015)
License: MIT License
Cross-Scale Cost Aggregation for Stereo Matching (CVPR 2014 + TCSVT 2015)
License: MIT License
尊敬的作者,您好!
非常感谢您优秀的工作以及开源的代码(因为都是**人,个人感觉国语会比较方便)。很抱歉我使用您的开源代码进行编译,在i5CPU,8G内存的电脑上根据您提供的命令以及参数配置:
-l_img_file="cones_l.png" --r_img_file="cones_r.png" --l_dis_file="cones_ld.png" --r_dis_file="cones_rd.png" --max_dis=60 --dis_scale=4 --cc_name="GRD" --use_cs=false --use_pp=false --reg_lambda=0.0
运行该图片得到效果运行时间接近300秒,改成使用“CEN”时间也是非常接近。同时我使用其他图片进行测试也是非常不理想。plane refinement迭代损耗了大量的资源。这与您优秀论文的方法和效果差别非常大,希望您能够提点一下。万分感谢。
Hi Kang,
Is it possible for you to include a link so I can download the paper? I searched TCSVT, TPAMI, and arxiv but can't find it.
Thanks,
Jason
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