Machine Learning
Acquiring the reflectance field of a human face
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Vision in film and special effects
ACM SIGGRAPH Computer Graphics
Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
Visual Modeling with a Hand-Held Camera
International Journal of Computer Vision
Plane metric rectification from a single view of multiple coplanar circles
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Scene reconstruction from high spatio-angular resolution light fields
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
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Visual Effects Production, despite being fundamentally an artistic endeavor, is a very technically oriented business. Like many other businesses in their early ages, it still requires constant innovation and in many cases a great amount of craftsmanship. Given these premises, most VFX companies (especially those at the leading edge) are hungry for novel and better solutions to the problems they encounter everyday. Many published machine vision algorithms are designed to be real-time and fully automatic with low computational complexity. These attributes are essential for applications such as robotic vision, but in most cases overkill or ill-conditioned for Motion Picture Digital Visual Effects facilities, where massive computation resources are commonplace and expert human interaction is available to initialise algorithms and to guide them towards an optimal solution. Conversely, motion pictures have significantly higher accuracy requirements and other unique challenges. Not all machine vision algorithms can readily be adapted to this environment. This talk outlines the requirements of visual effects and indicate several challenges and possible solutions involved in adopting image processing and machine vision algorithms for motion picture visual effects.