Introduction to Computer Vision
共212课时 5小时2分32秒秒
简介
本课程介绍计算机视觉,包括图像形成的基本原理、相机成像几何、特征检测和匹配、包括立体的多视图几何、运动估计和跟踪以及分类。课程将讲解相关应用程序的基本开发方法,包括在图像中查找已知模型、从立体图像中恢复深度、相机校准、图像稳定、自动对齐(例如全景)、跟踪和动作识别。
本课程侧重于培养学习者的直觉性和数学思维,进而让学习者了解问题理论与实践的差异。所有的算法都在幻灯片中演示。但请记住约吉·贝拉所说的:从理论上讲,理论和差别没有区别,从实践上讲,它是存在区别的。(爱因斯坦说过类似的话)。在此课程中,大多数时候你不需要应用高层次的库函数,只需使用低到中层算法来分析图像和提取结构信息。
Aaron Bobick
After 16 years at Gerogia Tech, on July 1, 2015, I became Dean of the School Engineering & Applied Science at Washington Univeristy in St. Louis.My email is afb (at) wustl.edu
Research
For an overview of my research projects, past and present, go to my research page (which is frozen in time around Jan 2015). It will contains pointers to selected publications and demos. A moderately complete list of publications is here.
Teaching
As of Fall, 2011 I had taken over the Introduction to Computer Vision course CS4495. This course is designed for senior undergraduates as well as graduate students who have had no prior experience with Computer Vision. The web sites are listed under my main page so with a little luck they stay for quite a while. One of the more recent version was done in Fall, 2014.More ineterstingly (perhaps) I created a Udacity version of this class. This Udacity link might work but you can search for "Computer Vision" "Udacity" Georgia Tech" and you should find it. Prof. Irfan Essa has taken over running the on-line version of the class.
Prospective Students
Sorry - not taking students anymore. Unless you're at WashU and somehow can convince me that you will succeed even with Dean as an advisor.
Contact Information
Contact info including various addresses and phones etc.
章节
- 课时1:Taking over for Aaron (3分2秒)
- 课时2:Difference between CV and CP (1分18秒)
- 课时3:Introduction to Computer Vision Course (3分5秒)
- 课时4:What is Computer Vision (1分3秒)
- 课时5:Identify Objects Quiz (30秒)
- 课时6:Identify Objects Quiz Solution (32秒)
- 课时7:Recognize Action Quiz (36秒)
- 课时8:Recognize Action Quiz Solution (22秒)
- 课时9:Why Study Computer Vision (57秒)
- 课时10:OCR and Face Recognition (2分14秒)
- 课时11:Object Recognition (1分35秒)
- 课时12:Special Effects and 3D Modeling (1分17秒)
- 课时13:Smart Cars (1分33秒)
- 课时14:Sports (1分5秒)
- 课时15:Vision Based Interaction (2分31秒)
- 课时16:Security and Medical Imaging (1分34秒)
- 课时17:A Novel Application Quiz (9秒)
- 课时18:A Novel Application Quiz Solution (12秒)
- 课时19:Why is This Hard (1分44秒)
- 课时20:Vision is NOT Image Processing (3分15秒)
- 课时21:Course Overview (2分45秒)
- 课时22:Topic Outline (2分1秒)
- 课时23:Course Details (3分19秒)
- 课时24:Software (3分24秒)
- 课时25:Matlab (2分22秒)
- 课时26:Octave (3分21秒)
- 课时27:Learning Goals Quiz (15秒)
- 课时28:End (39秒)
- 课时29:Images as Functions Intro (27秒)
- 课时30:Images as Functions Part 1 (2分28秒)
- 课时31:Image Quiz (19秒)
- 课时32:Image Quiz Solution (10秒)
- 课时33:Images as Functions Part 2 (1分59秒)
- 课时34:Define an Image as a Function Quiz (2分14秒)
- 课时35:Define an Image as a Function Quiz Solution (14秒)
- 课时36:Define a Color Image as a Function Quiz (1分5秒)
- 课时37:Define a Color Image as a Function Quiz Solution (44秒)
- 课时38:The Real Phyllis (1分14秒)
- 课时39:Digital Images (2分6秒)
- 课时40:Compute Image Size Quiz (28秒)
- 课时41:Compute Image Size Quiz Solution (1分10秒)
- 课时42:Matlab Images are Matrices (2分46秒)
- 课时43:Quantize Quiz (57秒)
- 课时44:Quantize Quiz Solution (29秒)
- 课时45:Load and Display an Image (43秒)
- 课时46:Image Size and Data Type Quiz (10秒)
- 课时47:Image Size and Data Type Quiz Solution (51秒)
- 课时48:Inspect Image Values (1分53秒)
- 课时49:Inspect Image Values Quiz (3秒)
- 课时50:Inspect Image Values Quiz Solution (22秒)
- 课时51:Crop an Image (46秒)
- 课时52:Crop an Image Quiz (3秒)
- 课时53:Crop an Image Quiz Solution (45秒)
- 课时54:Color Planes (1分40秒)
- 课时55:Add 2 Images Demo (2分34秒)
- 课时56:Add 2 Images Quiz (54秒)
- 课时57:Add 2 Images Quiz Solution (1分38秒)
- 课时58:Multiply by a Scalar Demo (1分52秒)
- 课时59:Blend 2 Images Quiz (1分24秒)
- 课时60:Blend 2 Images Solution (37秒)
- 课时61:Common Types of Noise (2分32秒)
- 课时62:Image Difference Demo (2分16秒)
- 课时63:Image Difference Quiz (29秒)
- 课时64:Image Difference Quiz Solution (1分45秒)
- 课时65:Generate Gaussian Noise (4分22秒)
- 课时66:Effect of Sigma on Gaussian Noise (1分46秒)
- 课时67:Effect of Sigma on Gaussian Noise Quiz (13秒)
- 课时68:Effect of Sigma on Gaussian Noise Quiz Solution (19秒)
- 课时69:Apply Gaussian Noise Quiz (31秒)
- 课时70:Apply Gaussian Noise Quiz Solution (1分23秒)
- 课时71:Displaying Images in Matlab (2分47秒)
- 课时72:Adding Noise Quiz (29秒)
- 课时73:Adding Noise Quiz Solution (35秒)
- 课时74:Images as Functions End (15秒)
- 课时75:What Did You Learn Today (18秒)
- 课时76:Intro (1分1秒)
- 课时77:Gaussian Noise (1分35秒)
- 课时78:Averaging Assumptions (1分19秒)
- 课时79:Noise Quiz (34秒)
- 课时80:Weighted Moving Average (1分51秒)
- 课时81:Moving Average Quiz (19秒)
- 课时82:Moving Average Quiz Solution (22秒)
- 课时83:Compare Filter Results Quiz (36秒)
- 课时84:Compare Filter Results Quiz Solution (1分12秒)
- 课时85:Moving Average In 2D (2分5秒)
- 课时86:Correlation Filtering (2分4秒)
- 课时87:Averaging Filter (1分47秒)
- 课时88:Blur Quiz (18秒)
- 课时89:Blur Quiz Solution (25秒)
- 课时90:Gaussian Filter (1分35秒)
- 课时91:Gaussian Quiz (32秒)
- 课时92:Gaussian Quiz Solution (14秒)
- 课时93:Variance or Standard Deviation (1分39秒)
- 课时94:Matlab (1分55秒)
- 课时95:Remove Noise (1分20秒)
- 课时96:Gaussian Filter Quiz (28秒)
- 课时97:Gaussian Filter Quiz Solution (23秒)
- 课时98:Keeping the Two Gaussians Straight (2分0秒)
- 课时99:End (7秒)
- 课时100:Intro (1分26秒)
- 课时101:Linear Quiz (12秒)
- 课时102:Linear Quiz Solution (20秒)
- 课时103:Impulse Function and Response (2分41秒)
- 课时104:Filtering an Impulse Signal (1分53秒)
- 课时105:Kernel Quiz (36秒)
- 课时106:Kernel Quiz Solution (37秒)
- 课时107:Correlation vs Convolution (2分29秒)
- 课时108:Convolution Quiz (36秒)
- 课时109:Convolution Quiz Solution (50秒)
- 课时110:Properties of Convolution (2分8秒)
- 课时111:Computational Complexity and Separability (2分36秒)
- 课时112:Linear Operation Quiz (24秒)
- 课时113:Linear Operation Quiz Solution (50秒)
- 课时114:Boundary Issues (1分49秒)
- 课时115:Methods (2分54秒)
- 课时116:Explore Edge Options (55秒)
- 课时117:Reflection Method Quiz (21秒)
- 课时118:Reflection Method Quiz Solution (19秒)
- 课时119:Practicing with Linear Filters (2分38秒)
- 课时120:Unsharp Mask (2分52秒)
- 课时121:Filter Quiz (23秒)
- 课时122:Filter Quiz Solution (18秒)
- 课时123:Different Kinds of Noise (1分59秒)
- 课时124:Median Filter (2分43秒)
- 课时125:Apply a Median Filter (47秒)
- 课时126:End (43秒)
- 课时127:Intro (2分58秒)
- 课时128:1D Correlation (2分50秒)
- 课时129:Matlab Cross Correlation Doc (35秒)
- 课时130:Find Template 1D Quiz (1分29秒)
- 课时131:Find Template 1D Quiz Solution (2分28秒)
- 课时132:Template Matching (1分44秒)
- 课时133:Find Template 2D Quiz (29秒)
- 课时134:Find Template 2D Quiz Solution (1分24秒)
- 课时135:Where's Waldo (54秒)
- 课时136:What is it Good for Quiz (35秒)
- 课时137:What is it Good for Quiz Solution (1分15秒)
- 课时138:Non Identical Template Matching (37秒)
- 课时139:Normalized Correlation Quiz (18秒)
- 课时140:Normalized Correlation Quiz Solution (43秒)
- 课时141:End (25秒)
- 课时142:Intro (59秒)
- 课时143:Reduced Images (53秒)
- 课时144:Edges (1分57秒)
- 课时145:Change Boundaries Quiz (22秒)
- 课时146:Change Boundaries Quiz Solution (27秒)
- 课时147:Edge Detection (1分53秒)
- 课时148:Derivatives and Edges (1分22秒)
- 课时149:What is a Gradient (3分24秒)
- 课时150:Magnitude Quiz (19秒)
- 课时151:Magnitude Quiz Solution (37秒)
- 课时152:Finite Differences (3分9秒)
- 课时153:Partial Derivatives of an Image (2分2秒)
- 课时154:The Discrete Gradient (1分39秒)
- 课时155:Sobel Operator (2分58秒)
- 课时156:Well Known Gradients (50秒)
- 课时157:Compute Gradients Quiz (25秒)
- 课时158:Compute Gradients Quiz Solution (47秒)
- 课时159:Gradient Direction Quiz (5分21秒)
- 课时160:Gradient Direction Quiz Solution (1分11秒)
- 课时161:But in the Real World (4分4秒)
- 课时162:Linearity Property Quiz (19秒)
- 课时163:Linearity Property Quiz Solution (44秒)
- 课时164:End (6秒)
- 课时165:Intro (53秒)
- 课时166:Derivative of Gaussian Filter 2D (1分35秒)
- 课时167:Smoothing Quiz (26秒)
- 课时168:Smoothing Quiz Solution (31秒)
- 课时169:Effect of Sigma on Derivatives (1分50秒)
- 课时170:Canny Edge Operator (1分43秒)
- 课时171:Canny Edge Detector (3分55秒)
- 课时172:For Your Eyes Only Demo (22秒)
- 课时173:For Your Eyes Only Quiz (2秒)
- 课时174:For Your Eyes Only Quiz Solution (59秒)
- 课时175:Canny Results (1分1秒)
- 课时176:Canny Edge Quiz (19秒)
- 课时177:Canny Edge Quiz Solution (6秒)
- 课时178:Single 2D Edge Detection Filter (2分11秒)
- 课时179:Edge Demo (3分19秒)
- 课时180:End (39秒)
- 课时181:Intro (1分44秒)
- 课时182:Parametric Model (1分50秒)
- 课时183:Line Fitting (1分43秒)
- 课时184:Edge to Lines Quiz (15秒)
- 课时185:Edge to Lines Quiz Solution (47秒)
- 课时186:Voting (3分3秒)
- 课时187:Hough Space (4分7秒)
- 课时188:Polar Representation for Lines (3分11秒)
- 课时189:Basic Hough Transform Algorithm (2分33秒)
- 课时190:Complexity of the Hough Transform (1分44秒)
- 课时191:Hough Example (2分1秒)
- 课时192:Hough Demo Intro (28秒)
- 课时193:Hough Demo (5分0秒)
- 课时194:Hough on a Real Image (2分23秒)
- 课时195:Impact of Noise on Hough (2分3秒)
- 课时196:Extensions (2分51秒)
- 课时197:End (1分3秒)
- 课时198:Intro (2分24秒)
- 课时199:Detecting Circles with Hough (2分38秒)
- 课时200:Hough Transform for Circles (2分47秒)
- 课时201:Algorithm for Circles (1分9秒)
- 课时202:Voting Practical Tips (1分43秒)
- 课时203:Pros and Cons (59秒)
- 课时204:7 - End (57秒)
- 课时205:Intro (52秒)
- 课时206:Generalized Hough Transform (2分42秒)
- 课时207:Generalized Hough Transform Example (2分31秒)
- 课时208:Generalized Hough Transform Algorithm (2分36秒)
- 课时209:Application in Recognition (1分40秒)
- 课时210:Training (2分46秒)
- 课时211:Application in Recognition (1分5秒)
- 课时212:End (49秒)
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