Analogue of the scale-invariant feature transform (SIFT) for three-dimensional images. Includes an image processing and linear algebra library with feature matching and RANSAC regression. Also includes IO functions supporting a variety of image formats.
Copyright © 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.
This code creates the following executables:
and the following libraries:
It also contains a Matlab toolbox for calling the library functions from Matlab scripts. See the README in /wrappers/matlab for more information.
See doc/INSTALL_<PLATFORM>.md for instructions on installing SIFT3D for your specific platform.
For instructions on using the CLI, use the “–help” option, e.g.
kpSift3D --help
See /examples for sample programs using the C and Matlab APIs.
The following sections describe how to link a program to the SIFT3D libraries.
SIFT3D exports a CMake package to the install directories. Here is an example of compiling a C program with SIFT3D from a CMake list.
find_package (SIFT3D) # Find SIFT3D
add_executable (helloWorld helloWorld.c) # Declare a target
target_link_libraries (helloWorld PUBLIC ${SIFT3D_LIBRARIES}) # Link to the SIFT3D libraries
if (WIN32) # Find the SIFT3D headers
target_include_directories (helloWorld PUBLIC "${SIFT3D_DIR}/../${SIFT3D_INCLUDE_DIRS}")
else()
target_include_directories (helloWorld PUBLIC ${SIFT3D_INCLUDE_DIRS})
endif()
The header files and libraries are installed to “sift3d” subdirectories in your installation tree. On most systems, you will need to add these subdirectories to your include and linker search paths. You will also need to link to the dependencies listed below.
Information about the dependencies can be found in the installation instructions.
Note: On Windows systems, some of the dependencies are statically linked to the SIFT3D libraries. In this case, it suffices to link to the DLLs in the “bin” subdirectory of your installation.
Please contact me at [email protected] if you have any questions or concerns.
If you would like to cite this work, please refer to the following paper:
B. Rister, M. A. Horowitz and D. L. Rubin, “Volumetric Image Registration From Invariant Keypoints,” in IEEE Transactions on Image Processing, vol. 26, no. 10, pp. 4900-4910, Oct. 2017.
doi: 10.1109/TIP.2017.2722689
The paper and automatic citations are available here.