Recovering high dynamic range radiance maps from photographs
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
A two-and-a-half-D motion-blur algorithm
SIGGRAPH '85 Proceedings of the 12th annual conference on Computer graphics and interactive techniques
Image-based motion blur for stop motion animation
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Computer Vision: A Modern Approach
Computer Vision: A Modern Approach
Calibration-Free Augmented Reality
IEEE Transactions on Visualization and Computer Graphics
IEEE Transactions on Visualization and Computer Graphics
Modeling motion blur in computer-generated images
SIGGRAPH '83 Proceedings of the 10th annual conference on Computer graphics and interactive techniques
High-Degree Temporal Antialiasing
CA '00 Proceedings of the Computer Animation
Photo-realistic depth-of-field effects synthesis based on real camera parameters
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part I
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Motion blur is an important visual cue for the illusion of object motion. It has many applications in computer animation, virtual reality and augmented reality. In this work, we present a nonlinear imaging model for synthetic motion blur generation. It is shown that the intensity response of the image sensor is determined by the optical parameters of the camera and can be derived by a simple photometric calibration process. Based on the nonlinear behavior of the image intensity response, photo-realistic motion blur can be obtained and combined with real scenes with least visual inconsistency. Experiments have shown that the proposed method generates more photo-consistent results than the conventional motion blur model.