Computer Vision for Visual Effects | RPI Online Course

Comprehensive online course on computer vision techniques for visual effects, covering a wide range of topics from Bayesian matting to 3D reconstruction. Taught by an expert in the field.

Introduction

These lectures were recorded from Spring 2014's offering of ECSE-6969 at Rensselaer Polytechnic Institute. They accompany the textbook Computer Vision for Visual Effects, published by Cambridge University Press in Fall 2012.

Highlights

• Covers a wide range of computer vision topics related to visual effects, including bluescreen and Bayesian matting, closed-form matting, MRF and Random Walk Matting, graph cut segmentation, video matting, Poisson image editing, photomontage and image inpainting, image retargeting and recompositing, feature detectors and descriptors, parametric transformations and scattered data interpolation, optical flow, epipolar geometry, stereo correspondence, video matching and morphing, image formation and camera calibration, 3D reconstruction, motion capture, LiDAR and time-of-flight sensing, structured light scanning, and multiview stereo.
• Lectures are recorded and available online, providing a comprehensive resource for learning computer vision techniques for visual effects.
• Taught by Rich Radke, an expert in the field of computer vision and the author of the textbook.

Recommendation

This course is highly recommended for students, researchers, and professionals interested in applying computer vision techniques to visual effects and media production. The in-depth coverage of relevant topics and availability of recorded lectures make it a valuable resource for self-study and reference.