SIFT features in GPU

2018 6 12
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更新时间：2018 6 13
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Hello, I am trying to use my GPU for finding corners and features from image, unfortunately only the function: detectFASTFeatures(Img), can work with gpuArray, the second function: extractFeatures(Img, points) is not working with gpuArray. I tried putting these codes in GPU Coder, and I got this error:
Code generation does not support MATLAB class 'vision.internal.cornerPoints_cg' in this context. Any suggestions?

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Joss Knight
Joss Knight 2018-6-12

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Sorry about that. Your best bet is to use the OpenCV interface to leverage their GPU supported functionality inside MATLAB.
detectHarrisFeatures is also supported for GPU, as well as various deep learning-related features.

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Shimron Fiorentino
Shimron Fiorentino 2018-6-13
Thanks I will check it out, although its weird that you can use the GPU to detect cornerpoints but you can't use it afterwards for extracting the features.
Joss Knight
Joss Knight 2018-6-13
Detecting features is both the most computationally intensive and most parallelisable part of typical vision workflows. It is the natural place to start with GPU acceleration. After that point you are no longer working with high resolution images, but sparse feature data, so data parallelism is less likely to provide a performance advantage.
BTW, detectHOGFeatures also support gpuArray.

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