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CVFX Lecture 1: Overview of Computer Vision and Visual Effects
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CVFX Lecture 2: Bluescreen and Bayesian matting
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CVFX Lecture 3: Closed-form matting
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CVFX Lecture 4: Markov Random Field (MRF) and Random Walk Matting
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CVFX Lecture 5: Graph cut segmentation, video matting, and matting extensions
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CVFX Lecture 6: Multiresolution blending and Poisson image editing
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CVFX Lecture 7: Photomontage and Image Inpainting
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CVFX Lecture 8: Image Retargeting and Recompositing
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CVFX Lecture 9: Feature Detectors
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CVFX Lecture 10: Feature descriptors
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CVFX Lecture 11: Feature evaluation and use
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CVFX Lecture 12: Parametric Transformations and Scattered Data Interpolation
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CVFX Lecture 13: Optical flow
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CVFX Lecture 14: Epipolar geometry
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CVFX Lecture 15: Stereo correspondence
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CVFX Lecture 16: Video matching, morphing, and view synthesis
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CVFX Lecture 17: Image formation and single-camera calibration
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CVFX Lecture 18: Stereo rig calibration and projective reconstruction
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CVFX Lecture 19: Euclidean reconstruction and bundle adjustment
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CVFX Lecture 20: Motion capture setup and forward kinematics
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CVFX Lecture 21: Inverse kinematics and motion editing
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CVFX Lecture 22: Facial and markerless motion capture
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CVFX Lecture 23: LiDAR and time-of-flight sensing
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CVFX Lecture 24: Structured light scanning
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CVFX Lecture 25: Multiview stereo
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CVFX Lecture 26: 3D features and registration
Description:
The lectures accompany the textbook Computer Vision for Visual Effects, published by Cambridge University Press in Fall 2012. http://cvfxbook.com
Computer Vision for Visual Effects Lectures Spring 2014
Rensselaer Polytechnic Institute
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#Computer Science
#Artificial Intelligence
#Computer Vision
#Feature Detection
#3D Reconstruction
#Art & Design
#Visual Arts
#Film & Theatre
#Filmmaking
#Film Production
#Visual Effects
#Design & Creativity
#Graphic Design
#Image Editing
#Image Processing
#Segmentation
#Optical Flow
#Computer Graphics
#Motion Capture
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