This toolkit is a collection of Matlab functions implementing several Computer Vision algorithms.
SETUP: cd to the main directory of CVT, where the file
cvt_setup.m is and run: cvt_setup. This will add the relevant
folders to the search path.
The main directory containing the relevant function is m-files.
Its content will be displayed by cvt_setup.
This code runs indifferently on Octave and Matlab. It has been tested on Octave 4.2.1 and Matlab R2017a. It does not have any external dependency on toolboxes or packages.
The test directory contains scripts that test (mostly) all the
functions in the toolkit. After setup cd to test and
run testAll. This will call all the test scripts and report
coverage.
The m-files/aux_fun directory contains auxiliary, helper functions.
The directory cherubino12 contains 12 JPEG images of a statue,
together with camera matrices (.pm) and masks (.png) (curtesy of
3Dflow srl). They are used in the testIMG ad testCARVE scripts.
The License file applies to all material but the thirdparty
directory, which contains auxiliary functions from other authors,
where the respective copyright notices apply.
The functions in this toolkit are described in the book:
- Fusiello, A. Computer Vision: Three-dimensional Reconstruction Techniques. Springer Cham, 2024.
Andrea Fusiello
Dipartimento Politecnico di Ingegneria e Architettura (DPIA)
Università degli Studi di Udine, Via Delle Scienze, 208 - 33100 Udine
email: andrea.fusiello@uniud.it