16. Computer Vision I

Unit 16 01 Introduction.mp4

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Unit 16 02 Image Formation.mp4

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Unit 16 03 Projection Length Question.mp4

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Unit 16 04 Projection Length Answer.mp4

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Unit 16 05 Focal Length Question.mp4

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Unit 16 06 Focal Length Answer.mp4

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Unit 16 07 Range Question.mp4

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Unit 16 08 Range Answer.mp4

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Unit 16 09 Perspective Projection.mp4

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Unit 16 10 Vanishing Points.mp4

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Unit 16 11 Vanishing Points Question.mp4

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Unit 16 12 Vanishing Points Answer.mp4

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Unit 16 13 Lenses.mp4

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Unit 16 14 Computer Vision.mp4

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Unit 16 15 Invariance Question A.mp4

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Unit 16 16 Invariance Answer A.mp4

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Unit 16 17 Invariance Question B.mp4

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Unit 16 18 Invariance Answer B.mp4

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Unit 16 19 Invariance Question C.mp4

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Unit 16 20 Invariance Answer C.mp4

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Unit 16 21 Invariance Question D.mp4

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Unit 16 22 Invariance Answer D.mp4

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Unit 16 23 Invariance Question E.mp4

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Unit 16 24 Invariance Answer E.mp4

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Unit 16 25 Final Invariance Type.mp4

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Unit 16 26 Importance of Invariance.mp4

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Unit 16 27 Greyscale Images.mp4

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Unit 16 28 Extracting Features.mp4

About 2 minutes in it should be vertical edge not horizontal.

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Unit 16 29 Extracting Features Question.mp4

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Unit 16 30 Extracting Features Answer.mp4

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Unit 16 31 Linear Filter.mp4

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Unit 16 32 Horizontal Edge Question.mp4

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Unit 16 33 Horizontal Edge Answer.mp4

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Unit 16 34 Vertical Filter Question.mp4

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Unit 16 35 Vertical Filter Answer.mp4

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Unit 16 36 Filter Results.mp4

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Unit 16 37 Gradient Images.mp4

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Unit 16 38 Canny Edge Detector.mp4

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Unit 16 39 Other Masks.mp4

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Unit 16 40 Prewitt Mask Question.mp4

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Unit 16 41 Prewitt Mask Answer.mp4

The answer described in the answer video is incorrectly stated as horizontal and should be vertical.  You can enter vertical for the correct answer.

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Unit 16 42 Gaussian Kernel Question.mp4

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Unit 16 43 Gaussian Kernel Answer.mp4

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Unit 16 44 Reasons for Gaussian Kernels.mp4

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Unit 16 45 Harris Corner Detector.mp4

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Unit 16 46 Modern Feature Detectors.mp4

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Unit 16 47 Conclusion.mp4

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