intellhave / sdrsac Goto Github PK

I check the SDRSAC.m file， and fond that maybe some problems when execute the plotPointClouds.m function. In your program, " plotPointClouds(B, bestRM + bestT, 'b.','r.')" , the dimensions of "bestRM" is (3,4500), while "bestT" is (3,1). And can't sum directly, I changed this part as follows:
[row, col] = size(M);
bestTrl = repmat(bestT, 1, col);
plotPointClouds(B, bestR*M + bestTrl, 'b.','r.')
and works well!

Hello, when running the demo code ,the matlab tell me that"未定义与 'char' 类型的输入参数相对应的函数 'ccp_model'。". so I guess there is no cpp_model function.

here's the error log:
any additional toolkit is needed?

Has someone already implemented this method using C++, Python or something like that and should share the code?

Thanks.

Ho,how to test my own point cloud data?Just provide source and target point cloud, then the program give me the transform.How to do?Thanks

Dear author, thank you very much for opening your code. I have some questions about your paper's experiment, the time consumption of the algorithm is very low, but I use my own data set program is very time-consuming, and it takes about 380s to complete a matching， IT‘s much higher than yours. Although I reduced the number of iterations and increased the minimum error to 0.05, it still needs about 180s on the premise of ensuring the correct matching.So may i ask you is there any way to speed up the operation?

In solveSDP you set up the SDP solution as a var_sdp object, and then add a symmetric constraint. According to the SDPNAL+ docs, it looks like you could have used var_symm for the definition of Y, in which case you can remove the symmetric constraint here. Is there something that I am missing here?

Thanks for the implementation, and I enjoyed your talk at CVPR this year!

Do you have a WeChat or email? haha