SIFT3D | invariant feature transform | Computer Vision library
kandi X-RAY | SIFT3D Summary
kandi X-RAY | SIFT3D Summary
Copyright (c) 2015-2019 Blaine Rister et al., see LICENSE for details. SIFT3D is an analogue of the scale-invariant feature transform (SIFT) for three-dimensional images. It leverages volumetric data and real-world units to detect keypoints and extract a robust description of their content. It can also perform 3D image registration by matching SIFT3D features and fitting geometric transformations with the RANSAC algorithm. All of this is implemented in a cross-platform C library, with wrappers for Matlab. SIFT3D includes imutil, a utility library for image processing and linear algebra. This library performs file IO in a variety of medical imaging formats, including DICOM and NIFTI.
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QUESTION
I'm trying to perform some basic action recognition using the KTH dataset.
I'm using the 3DSIFT feature extractor from UCF link. Which extracts a SIFT descriptor from a given x, y and z coordinate.
For feature detection I am using selective-STIPS link, that has shown to be very effective for action recognition. According to the source code provided by the author, it produces the following output:
...ANSWER
Answered 2017-Nov-08 at 20:22Yes, from what I can tell following through 3dsift Z is equivalent to frame number when dealing with video. So the x,y, frame output from stips should work as the x,y,z input to 3dsift.
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