
Image formation

사인파 함수(삼각함수)$f(t) = A_0 + C_1cos(w_0t + \\theta)$Mean Value $A_0$Amplitude $C_1$ 진폭Angular frequency $w_0 = 2\\pi f = \\frac{2\\pi}{T}$Phase angle(shi

Week 3-1. Image Sampling and Pyramids 1. Image Sampling Image Sub-Sampling Throw away every other row and column to create 1/2 size image Good and Bad

Week 4-1. Boundary Detection 1. Boundaries of Objects edge detection, multi-scale edge detection, sometimes hard for humans 2. Hough Transform for Li

Week 5-1. Radiometry and Reflectance 1. Light and Scene light and shadow refraction 굴절 reflection interrelection: reciprocal reflection 상호 반사(엘베 거울) s

Week 5-2. Photometric Stereo 1. Gradient Space and Reflectance Map Surface Gradient and Normal equation of plane, use p,q variable, surface normal, un

warping: 뒤틀림Image Alignmentwe will fit the parameters of some transformation according to a set of matching feature pairs (“correspondences”)Two broad

Week 9-2. Image Segmentation 1. Segmentation by Humans 2. K-Means Segmentation Pixels in Euclidean Space: Pixels as feature vectors: [R, G, B, x, y,
Week 8-1. Keypoints and Features 1. Motivation Image Matching Problem: 같은 공간 Panorama Stitching Step 1: Extract keypoints (interesting points) Step 2

Motion FieldImage velocity of a point moving in the sceneOptical FlowMotion of brightness pattern in the imageIdeally, Optical flow = Motion fieldProb

Week 8-1. Keypoints and Features Keypoint: salience 현저, 중요성, repeatability, compactness and efficiency, locality flat region, edge, corner 2. Blob de

motivation: panorama1\. Capture multiple image from different viewpoints2\. Stitch them together into a virtual wide-angle imageHow?Translate one imag

입체사진Perspective ProjectionForward Imaging Model: 3D to 2Dimage coordinates, camera coordinates, world coordinatesArbitrary focal length(f)Camera matri

Week 12-2. Optical Flow 12랑 똑같음 1. Motion Field and Optical Flow Motion Field Image velocity of a point moving in the scene Optical Flow Motion of br