2017-07-25 06:36:14 -0600 | received badge | ● Critic (source) |
2017-07-25 06:31:42 -0600 | commented answer | Is it possible to apply superpixel algorithm on depth data? Hello, I am not quit familiar with human skeleton extraction methods. I am more on 3D segmentation and stereo-vision area. |
2017-07-24 06:41:10 -0600 | answered a question | How to assign cv::Mat to point to the page-locked memory (pinned memory) Well, I have found that ones can modify the default allocator of cv::Mat to be page-locked memory. This can be done in OpenCV by this code line which have to be written before declaring the cv::Mat. |
2017-07-24 06:36:37 -0600 | received badge | ● Supporter (source) |
2017-07-24 05:02:05 -0600 | answered a question | Is it possible to apply superpixel algorithm on depth data? Well, Superpixels extractor algorithms are usually applied to Color image. For example SLIC algorithm uses CIElab color space to which pixel should be assigned together. Thus, If you want to apply directly SLIC to depth image which has only depth information, the simple answer is NO, otherwise you have to modify the SLIC Kernel. However, in 3D Superpixels are called Supervoxels thus you have to look for Supervoxel methods (Check PCL library fro VCCS). If you need more information do not hesitate to ask. |
2017-07-21 03:07:30 -0600 | asked a question | How to assign cv::Mat to point to the page-locked memory (pinned memory) I have a Please any Ideas? |
2017-07-18 06:36:39 -0600 | asked a question | How to pass an already stored data in GPU by GpuMat to a kernel Hello, I have a GpuMat of OpenCV type created as that I am doing some image processing operations using opencv::cuda and then according to the OpenCV documentation I have tried to pass it directly to the kernel function below as : but I got wrong results. However, it was okay if the new d_im is downloaded from GPU to CPU and then copy it again to the GPU by cudaMemcpy as in this code snippet below (with no problems). I know this is not okay to do. My global function prototype is : I am not sure what is wrong in this case, please anyone had similar issue or any suggestions. Thanks for your help |