CS 131 Study Guide - Final Guide: Canny Edge Detector, Long Term Ecological Research Network, Computer Vision

• School: Stanford University
• Department: Computer Science
• Course: CS 131
• Professor: All

Document Summary

Disclaimer: the sample problems are not representative of the true length of the nal exam. It is intended to provide you an idea of the format of the questions you are going to have in the nal. Though it does those things, it also has non-linear operations: non-maximum suppression. thresholding, hysteresis: it is possible to blur an image using a linear lter. Solution true: fisherfaces works better at discrimination than eigenfaces because eigenfaces assumes that the faces are aligned. 3 short answers: given a dataset that consists of images of hoover tower and some other towers, you want to use pca (eigenface) and the nearest neighbor method to build a classi er that predicts whether new images depict. A sample of your input training images are given in figure ??. Solution: align the towers to be in the same position in the image.