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课时1:Taking over for Aaron
课时2:Difference between CV and CP
课时3:Introduction to Computer Vision Course
课时4:What is Computer Vision
课时5:Identify Objects Quiz
课时6:Identify Objects Quiz Solution
课时7:Recognize Action Quiz
课时8:Recognize Action Quiz Solution
课时9:Why Study Computer Vision
课时10:OCR and Face Recognition
课时11:Object Recognition
课时12:Special Effects and 3D Modeling
课时13:Smart Cars
课时14:Sports
课时15:Vision Based Interaction
课时16:Security and Medical Imaging
课时17:A Novel Application Quiz
课时18:A Novel Application Quiz Solution
课时19:Why is This Hard
课时20:Vision is NOT Image Processing
课时21:Course Overview
课时22:Topic Outline
课时23:Course Details
课时24:Software
课时25:Matlab
课时26:Octave
课时27:Learning Goals Quiz
课时28:End
课时29:Images as Functions Intro
课时30:Images as Functions Part 1
课时31:Image Quiz
课时32:Image Quiz Solution
课时33:Images as Functions Part 2
课时34:Define an Image as a Function Quiz
课时35:Define an Image as a Function Quiz Solution
课时36:Define a Color Image as a Function Quiz
课时37:Define a Color Image as a Function Quiz Solution
课时38:The Real Phyllis
课时39:Digital Images
课时40:Compute Image Size Quiz
课时41:Compute Image Size Quiz Solution
课时42:Matlab Images are Matrices
课时43:Quantize Quiz
课时44:Quantize Quiz Solution
课时45:Load and Display an Image
课时46:Image Size and Data Type Quiz
课时47:Image Size and Data Type Quiz Solution
课时48:Inspect Image Values
课时49:Inspect Image Values Quiz
课时50:Inspect Image Values Quiz Solution
课时51:Crop an Image
课时52:Crop an Image Quiz
课时53:Crop an Image Quiz Solution
课时54:Color Planes
课时55:Add 2 Images Demo
课时56:Add 2 Images Quiz
课时57:Add 2 Images Quiz Solution
课时58:Multiply by a Scalar Demo
课时59:Blend 2 Images Quiz
课时60:Blend 2 Images Solution
课时61:Common Types of Noise
课时62:Image Difference Demo
课时63:Image Difference Quiz
课时64:Image Difference Quiz Solution
课时65:Generate Gaussian Noise
课时66:Effect of Sigma on Gaussian Noise
课时67:Effect of Sigma on Gaussian Noise Quiz
课时68:Effect of Sigma on Gaussian Noise Quiz Solution
课时69:Apply Gaussian Noise Quiz
课时70:Apply Gaussian Noise Quiz Solution
课时71:Displaying Images in Matlab
课时72:Adding Noise Quiz
课时73:Adding Noise Quiz Solution
课时74:Images as Functions End
课时75:What Did You Learn Today
课时76:Intro
课时77:Gaussian Noise
课时78:Averaging Assumptions
课时79:Noise Quiz
课时80:Weighted Moving Average
课时81:Moving Average Quiz
课时82:Moving Average Quiz Solution
课时83:Compare Filter Results Quiz
课时84:Compare Filter Results Quiz Solution
课时85:Moving Average In 2D
课时86:Correlation Filtering
课时87:Averaging Filter
课时88:Blur Quiz
课时89:Blur Quiz Solution
课时90:Gaussian Filter
课时91:Gaussian Quiz
课时92:Gaussian Quiz Solution
课时93:Variance or Standard Deviation
课时94:Matlab
课时95:Remove Noise
课时96:Gaussian Filter Quiz
课时97:Gaussian Filter Quiz Solution
课时98:Keeping the Two Gaussians Straight
课时99:End
课时100:Intro
课时101:Linear Quiz
课时102:Linear Quiz Solution
课时103:Impulse Function and Response
课时104:Filtering an Impulse Signal
课时105:Kernel Quiz
课时106:Kernel Quiz Solution
课时107:Correlation vs Convolution
课时108:Convolution Quiz
课时109:Convolution Quiz Solution
课时110:Properties of Convolution
课时111:Computational Complexity and Separability
课时112:Linear Operation Quiz
课时113:Linear Operation Quiz Solution
课时114:Boundary Issues
课时115:Methods
课时116:Explore Edge Options
课时117:Reflection Method Quiz
课时118:Reflection Method Quiz Solution
课时119:Practicing with Linear Filters
课时120:Unsharp Mask
课时121:Filter Quiz
课时122:Filter Quiz Solution
课时123:Different Kinds of Noise
课时124:Median Filter
课时125:Apply a Median Filter
课时126:End
课时127:Intro
课时128:1D Correlation
课时129:Matlab Cross Correlation Doc
课时130:Find Template 1D Quiz
课时131:Find Template 1D Quiz Solution
课时132:Template Matching
课时133:Find Template 2D Quiz
课时134:Find Template 2D Quiz Solution
课时135:Where's Waldo
课时136:What is it Good for Quiz
课时137:What is it Good for Quiz Solution
课时138:Non Identical Template Matching
课时139:Normalized Correlation Quiz
课时140:Normalized Correlation Quiz Solution
课时141:End
课时142:Intro
课时143:Reduced Images
课时144:Edges
课时145:Change Boundaries Quiz
课时146:Change Boundaries Quiz Solution
课时147:Edge Detection
课时148:Derivatives and Edges
课时149:What is a Gradient
课时150:Magnitude Quiz
课时151:Magnitude Quiz Solution
课时152:Finite Differences
课时153:Partial Derivatives of an Image
课时154:The Discrete Gradient
课时155:Sobel Operator
课时156:Well Known Gradients
课时157:Compute Gradients Quiz
课时158:Compute Gradients Quiz Solution
课时159:Gradient Direction Quiz
课时160:Gradient Direction Quiz Solution
课时161:But in the Real World
课时162:Linearity Property Quiz
课时163:Linearity Property Quiz Solution
课时164:End
课时165:Intro
课时166:Derivative of Gaussian Filter 2D
课时167:Smoothing Quiz
课时168:Smoothing Quiz Solution
课时169:Effect of Sigma on Derivatives
课时170:Canny Edge Operator
课时171:Canny Edge Detector
课时172:For Your Eyes Only Demo
课时173:For Your Eyes Only Quiz
课时174:For Your Eyes Only Quiz Solution
课时175:Canny Results
课时176:Canny Edge Quiz
课时177:Canny Edge Quiz Solution
课时178:Single 2D Edge Detection Filter
课时179:Edge Demo
课时180:End
课时181:Intro
课时182:Parametric Model
课时183:Line Fitting
课时184:Edge to Lines Quiz
课时185:Edge to Lines Quiz Solution
课时186:Voting
课时187:Hough Space
课时188:Polar Representation for Lines
课时189:Basic Hough Transform Algorithm
课时190:Complexity of the Hough Transform
课时191:Hough Example
课时192:Hough Demo Intro
课时193:Hough Demo
课时194:Hough on a Real Image
课时195:Impact of Noise on Hough
课时196:Extensions
课时197:End
课时198:Intro
课时199:Detecting Circles with Hough
课时200:Hough Transform for Circles
课时201:Algorithm for Circles
课时202:Voting Practical Tips
课时203:Pros and Cons
课时204:7 - End
课时205:Intro
课时206:Generalized Hough Transform
课时207:Generalized Hough Transform Example
课时208:Generalized Hough Transform Algorithm
课时209:Application in Recognition
课时210:Training
课时211:Application in Recognition
课时212:End
课程介绍共计212课时,5小时2分32秒