Introduction to Computer Vision

This course is an introduction to computer vision, including the basic principles of image formation, camera imaging geometry, feature detection and matching, multi-view geometry including stereo, motion estimation and tracking, and classification. The course will cover basic development methods for relevant applications, including finding known models in images, recovering depth from stereo images, camera calibration, image stabilization, automatic alignment (e.g. panoramas), tracking and motion recognition.

This course focuses on cultivating learners' intuition and mathematical thinking, thereby allowing learners to understand the difference between theory and practice of problems. All algorithms are demonstrated in slides. But remember what Yogi Berra said: In theory, there is no difference between theory and difference, in practice, there is a difference. (Einstein said something similar). In this course, most of the time you won't need to apply high-level library functions, just low-to-mid-level algorithms to analyze images and extract structural information.

• Chapter 1：Taking over for Aaron (3 minutes and 2 seconds)

• Chapter 2：Difference between CV and CP (1 minutes and 18 seconds)

• Chapter 3：Introduction to Computer Vision Course (3 minutes and 5 seconds)

• Chapter 4：What is Computer Vision (1 minutes and 3 seconds)

• Chapter 5：Identify Objects Quiz (30 seconds)

• Chapter 6：Identify Objects Quiz Solution (32 seconds)

• Chapter 7：Recognize Action Quiz (36 seconds)

• Chapter 8：Recognize Action Quiz Solution (22 seconds)

• Chapter 9：Why Study Computer Vision (57 seconds)

• Chapter 10：OCR and Face Recognition (2 minutes and 14 seconds)

• Chapter 11：Object Recognition (1 minutes and 35 seconds)

• Chapter 12：Special Effects and 3D Modeling (1 minutes and 17 seconds)

• Chapter 13：Smart Cars (1 minutes and 33 seconds)

• Chapter 14：Sports (1 minutes and 5 seconds)

• Chapter 15：Vision Based Interaction (2 minutes and 31 seconds)

• Chapter 16：Security and Medical Imaging (1 minutes and 34 seconds)

• Chapter 17：A Novel Application Quiz (9 seconds)

• Chapter 18：A Novel Application Quiz Solution (12 seconds)

• Chapter 19：Why is This Hard (1 minutes and 44 seconds)

• Chapter 20：Vision is NOT Image Processing (3 minutes and 15 seconds)

• Chapter 21：Course Overview (2 minutes and 45 seconds)

• Chapter 22：Topic Outline (2 minutes and 1 seconds)

• Chapter 23：Course Details (3 minutes and 19 seconds)

• Chapter 24：Software (3 minutes and 24 seconds)

• Chapter 25：Matlab (2 minutes and 22 seconds)

• Chapter 26：Octave (3 minutes and 21 seconds)

• Chapter 27：Learning Goals Quiz (15 seconds)

• Chapter 28：End (39 seconds)

• Chapter 29：Images as Functions Intro (27 seconds)

• Chapter 30：Images as Functions Part 1 (2 minutes and 28 seconds)

• Chapter 31：Image Quiz (19 seconds)

• Chapter 32：Image Quiz Solution (10 seconds)

• Chapter 33：Images as Functions Part 2 (1 minutes and 59 seconds)

• Chapter 34：Define an Image as a Function Quiz (2 minutes and 14 seconds)

• Chapter 35：Define an Image as a Function Quiz Solution (14 seconds)

• Chapter 36：Define a Color Image as a Function Quiz (1 minutes and 5 seconds)

• Chapter 37：Define a Color Image as a Function Quiz Solution (44 seconds)

• Chapter 38：The Real Phyllis (1 minutes and 14 seconds)

• Chapter 39：Digital Images (2 minutes and 6 seconds)

• Chapter 40：Compute Image Size Quiz (28 seconds)

• Chapter 41：Compute Image Size Quiz Solution (1 minutes and 10 seconds)

• Chapter 42：Matlab Images are Matrices (2 minutes and 46 seconds)

• Chapter 43：Quantize Quiz (57 seconds)

• Chapter 44：Quantize Quiz Solution (29 seconds)

• Chapter 45：Load and Display an Image (43 seconds)

• Chapter 46：Image Size and Data Type Quiz (10 seconds)

• Chapter 47：Image Size and Data Type Quiz Solution (51 seconds)

• Chapter 48：Inspect Image Values (1 minutes and 53 seconds)

• Chapter 49：Inspect Image Values Quiz (3 seconds)

• Chapter 50：Inspect Image Values Quiz Solution (22 seconds)

• Chapter 51：Crop an Image (46 seconds)

• Chapter 52：Crop an Image Quiz (3 seconds)

• Chapter 53：Crop an Image Quiz Solution (45 seconds)

• Chapter 54：Color Planes (1 minutes and 40 seconds)

• Chapter 55：Add 2 Images Demo (2 minutes and 34 seconds)

• Chapter 56：Add 2 Images Quiz (54 seconds)

• Chapter 57：Add 2 Images Quiz Solution (1 minutes and 38 seconds)

• Chapter 58：Multiply by a Scalar Demo (1 minutes and 52 seconds)

• Chapter 59：Blend 2 Images Quiz (1 minutes and 24 seconds)

• Chapter 60：Blend 2 Images Solution (37 seconds)

• Chapter 61：Common Types of Noise (2 minutes and 32 seconds)

• Chapter 62：Image Difference Demo (2 minutes and 16 seconds)

• Chapter 63：Image Difference Quiz (29 seconds)

• Chapter 64：Image Difference Quiz Solution (1 minutes and 45 seconds)

• Chapter 65：Generate Gaussian Noise (4 minutes and 22 seconds)

• Chapter 66：Effect of Sigma on Gaussian Noise (1 minutes and 46 seconds)

• Chapter 67：Effect of Sigma on Gaussian Noise Quiz (13 seconds)

• Chapter 68：Effect of Sigma on Gaussian Noise Quiz Solution (19 seconds)

• Chapter 69：Apply Gaussian Noise Quiz (31 seconds)

• Chapter 70：Apply Gaussian Noise Quiz Solution (1 minutes and 23 seconds)

• Chapter 71：Displaying Images in Matlab (2 minutes and 47 seconds)

• Chapter 72：Adding Noise Quiz (29 seconds)

• Chapter 73：Adding Noise Quiz Solution (35 seconds)

• Chapter 74：Images as Functions End (15 seconds)

• Chapter 75：What Did You Learn Today (18 seconds)

• Chapter 76：Intro (1 minutes and 1 seconds)

• Chapter 77：Gaussian Noise (1 minutes and 35 seconds)

• Chapter 78：Averaging Assumptions (1 minutes and 19 seconds)

• Chapter 79：Noise Quiz (34 seconds)

• Chapter 80：Weighted Moving Average (1 minutes and 51 seconds)

• Chapter 81：Moving Average Quiz (19 seconds)

• Chapter 82：Moving Average Quiz Solution (22 seconds)

• Chapter 83：Compare Filter Results Quiz (36 seconds)

• Chapter 84：Compare Filter Results Quiz Solution (1 minutes and 12 seconds)

• Chapter 85：Moving Average In 2D (2 minutes and 5 seconds)

• Chapter 86：Correlation Filtering (2 minutes and 4 seconds)

• Chapter 87：Averaging Filter (1 minutes and 47 seconds)

• Chapter 88：Blur Quiz (18 seconds)

• Chapter 89：Blur Quiz Solution (25 seconds)

• Chapter 90：Gaussian Filter (1 minutes and 35 seconds)

• Chapter 91：Gaussian Quiz (32 seconds)

• Chapter 92：Gaussian Quiz Solution (14 seconds)

• Chapter 93：Variance or Standard Deviation (1 minutes and 39 seconds)

• Chapter 94：Matlab (1 minutes and 55 seconds)

• Chapter 95：Remove Noise (1 minutes and 20 seconds)

• Chapter 96：Gaussian Filter Quiz (28 seconds)

• Chapter 97：Gaussian Filter Quiz Solution (23 seconds)

• Chapter 98：Keeping the Two Gaussians Straight (2 minutes and 0 seconds)

• Chapter 99：End (7 seconds)

• Chapter 100：Intro (1 minutes and 26 seconds)

• Chapter 101：Linear Quiz (12 seconds)

• Chapter 102：Linear Quiz Solution (20 seconds)

• Chapter 103：Impulse Function and Response (2 minutes and 41 seconds)

• Chapter 104：Filtering an Impulse Signal (1 minutes and 53 seconds)

• Chapter 105：Kernel Quiz (36 seconds)

• Chapter 106：Kernel Quiz Solution (37 seconds)

• Chapter 107：Correlation vs Convolution (2 minutes and 29 seconds)

• Chapter 108：Convolution Quiz (36 seconds)

• Chapter 109：Convolution Quiz Solution (50 seconds)

• Chapter 110：Properties of Convolution (2 minutes and 8 seconds)

• Chapter 111：Computational Complexity and Separability (2 minutes and 36 seconds)

• Chapter 112：Linear Operation Quiz (24 seconds)

• Chapter 113：Linear Operation Quiz Solution (50 seconds)

• Chapter 114：Boundary Issues (1 minutes and 49 seconds)

• Chapter 115：Methods (2 minutes and 54 seconds)

• Chapter 116：Explore Edge Options (55 seconds)

• Chapter 117：Reflection Method Quiz (21 seconds)

• Chapter 118：Reflection Method Quiz Solution (19 seconds)

• Chapter 119：Practicing with Linear Filters (2 minutes and 38 seconds)

• Chapter 120：Unsharp Mask (2 minutes and 52 seconds)

• Chapter 121：Filter Quiz (23 seconds)

• Chapter 122：Filter Quiz Solution (18 seconds)

• Chapter 123：Different Kinds of Noise (1 minutes and 59 seconds)

• Chapter 124：Median Filter (2 minutes and 43 seconds)

• Chapter 125：Apply a Median Filter (47 seconds)

• Chapter 126：End (43 seconds)

• Chapter 127：Intro (2 minutes and 58 seconds)

• Chapter 128：1D Correlation (2 minutes and 50 seconds)

• Chapter 129：Matlab Cross Correlation Doc (35 seconds)

• Chapter 130：Find Template 1D Quiz (1 minutes and 29 seconds)

• Chapter 131：Find Template 1D Quiz Solution (2 minutes and 28 seconds)

• Chapter 132：Template Matching (1 minutes and 44 seconds)

• Chapter 133：Find Template 2D Quiz (29 seconds)

• Chapter 134：Find Template 2D Quiz Solution (1 minutes and 24 seconds)

• Chapter 135：Where's Waldo (54 seconds)

• Chapter 136：What is it Good for Quiz (35 seconds)

• Chapter 137：What is it Good for Quiz Solution (1 minutes and 15 seconds)

• Chapter 138：Non Identical Template Matching (37 seconds)

• Chapter 139：Normalized Correlation Quiz (18 seconds)

• Chapter 140：Normalized Correlation Quiz Solution (43 seconds)

• Chapter 141：End (25 seconds)

• Chapter 142：Intro (59 seconds)

• Chapter 143：Reduced Images (53 seconds)

• Chapter 144：Edges (1 minutes and 57 seconds)

• Chapter 145：Change Boundaries Quiz (22 seconds)

• Chapter 146：Change Boundaries Quiz Solution (27 seconds)

• Chapter 147：Edge Detection (1 minutes and 53 seconds)

• Chapter 148：Derivatives and Edges (1 minutes and 22 seconds)

• Chapter 149：What is a Gradient (3 minutes and 24 seconds)

• Chapter 150：Magnitude Quiz (19 seconds)

• Chapter 151：Magnitude Quiz Solution (37 seconds)

• Chapter 152：Finite Differences (3 minutes and 9 seconds)

• Chapter 153：Partial Derivatives of an Image (2 minutes and 2 seconds)

• Chapter 154：The Discrete Gradient (1 minutes and 39 seconds)

• Chapter 155：Sobel Operator (2 minutes and 58 seconds)

• Chapter 156：Well Known Gradients (50 seconds)

• Chapter 157：Compute Gradients Quiz (25 seconds)

• Chapter 158：Compute Gradients Quiz Solution (47 seconds)

• Chapter 159：Gradient Direction Quiz (5 minutes and 21 seconds)

• Chapter 160：Gradient Direction Quiz Solution (1 minutes and 11 seconds)

• Chapter 161：But in the Real World (4 minutes and 4 seconds)

• Chapter 162：Linearity Property Quiz (19 seconds)

• Chapter 163：Linearity Property Quiz Solution (44 seconds)

• Chapter 164：End (6 seconds)

• Chapter 165：Intro (53 seconds)

• Chapter 166：Derivative of Gaussian Filter 2D (1 minutes and 35 seconds)

• Chapter 167：Smoothing Quiz (26 seconds)

• Chapter 168：Smoothing Quiz Solution (31 seconds)

• Chapter 169：Effect of Sigma on Derivatives (1 minutes and 50 seconds)

• Chapter 170：Canny Edge Operator (1 minutes and 43 seconds)

• Chapter 171：Canny Edge Detector (3 minutes and 55 seconds)

• Chapter 172：For Your Eyes Only Demo (22 seconds)

• Chapter 173：For Your Eyes Only Quiz (2 seconds)

• Chapter 174：For Your Eyes Only Quiz Solution (59 seconds)

• Chapter 175：Canny Results (1 minutes and 1 seconds)

• Chapter 176：Canny Edge Quiz (19 seconds)

• Chapter 177：Canny Edge Quiz Solution (6 seconds)

• Chapter 178：Single 2D Edge Detection Filter (2 minutes and 11 seconds)

• Chapter 179：Edge Demo (3 minutes and 19 seconds)

• Chapter 180：End (39 seconds)

• Chapter 181：Intro (1 minutes and 44 seconds)

• Chapter 182：Parametric Model (1 minutes and 50 seconds)

• Chapter 183：Line Fitting (1 minutes and 43 seconds)

• Chapter 184：Edge to Lines Quiz (15 seconds)

• Chapter 185：Edge to Lines Quiz Solution (47 seconds)

• Chapter 186：Voting (3 minutes and 3 seconds)

• Chapter 187：Hough Space (4 minutes and 7 seconds)

• Chapter 188：Polar Representation for Lines (3 minutes and 11 seconds)

• Chapter 189：Basic Hough Transform Algorithm (2 minutes and 33 seconds)

• Chapter 190：Complexity of the Hough Transform (1 minutes and 44 seconds)

• Chapter 191：Hough Example (2 minutes and 1 seconds)

• Chapter 192：Hough Demo Intro (28 seconds)

• Chapter 193：Hough Demo (5 minutes and 0 seconds)

• Chapter 194：Hough on a Real Image (2 minutes and 23 seconds)

• Chapter 195：Impact of Noise on Hough (2 minutes and 3 seconds)

• Chapter 196：Extensions (2 minutes and 51 seconds)

• Chapter 197：End (1 minutes and 3 seconds)

• Chapter 198：Intro (2 minutes and 24 seconds)

• Chapter 199：Detecting Circles with Hough (2 minutes and 38 seconds)

• Chapter 200：Hough Transform for Circles (2 minutes and 47 seconds)

• Chapter 201：Algorithm for Circles (1 minutes and 9 seconds)

• Chapter 202：Voting Practical Tips (1 minutes and 43 seconds)

• Chapter 203：Pros and Cons (59 seconds)

• Chapter 204：7 - End (57 seconds)

• Chapter 205：Intro (52 seconds)

• Chapter 206：Generalized Hough Transform (2 minutes and 42 seconds)

• Chapter 207：Generalized Hough Transform Example (2 minutes and 31 seconds)

• Chapter 208：Generalized Hough Transform Algorithm (2 minutes and 36 seconds)

• Chapter 209：Application in Recognition (1 minutes and 40 seconds)

• Chapter 210：Training (2 minutes and 46 seconds)

• Chapter 211：Application in Recognition (1 minutes and 5 seconds)

• Chapter 212：End (49 seconds)