My solutions and reports for the 3 programming assignments for the COMP 408/508 Computer Vision Course of Koç University are listed here.
Creating hybrid images using image filtering with OpenCV.
This assignment is based on the project developed by James Hays and Derek Hoiem for a similar computer vision course at Brown University.
Panorama stitching using SIFT descriptors and homography estimation with RANSAC.
This assignment is based on the project developed by Fei-Fei Li and Juan Carlos Niebles for a similar computer vision course at Stanford University.
Face detection using sliding windows and support vector machines. SVM is trained with HoG features from positive and negative labeled face and non-face images. VLFeat is used for computing HoG features and training SVM.
Most of the skeleton code is adapted from a similar assignment in the computer vision course at Brown University by James Hays and Derek Hoiem.
Used images in the reports are either given with the started code, taken by me or used with owner's consent.
Koç University students who are currently taking this course, see Code of Conduct.
MIT License
Copyright (c) 2018 Ahmet Uysal
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
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