The projects are
-
Planar homographies; panoramas.
-
Bag-of-words scene classificatoin; filter banks; knn; k-means; spatial pyramids.
-
Object detection; deformable part model; non-maximum supression; weighted mean shift; emxamplar SVM; HOG.
related repo: https://github.com/waynezv/exemplarsvm
- Tracking templates and control points; Lucas-Kanade; Supervised Descent Method; SIFT.
related repo: https://github.com/waynezv/CF2
-
RANSAC and 3D reconstruction; eight point algorithm; seven point algorithm; Smith Hall :-)
-
Final project: transitive distance segmentation.
The class was fun.