Digital image processing
Synthetic Image Generation with a Lens and Aperture Camera Model
ACM Transactions on Graphics (TOG)
An improved illumination model for shaded display
Communications of the ACM
Digital Image Restoration
Path specification and path coherence
SIGGRAPH '82 Proceedings of the 9th annual conference on Computer graphics and interactive techniques
Computer animation with scripts and actors
SIGGRAPH '82 Proceedings of the 9th annual conference on Computer graphics and interactive techniques
A lens and aperture camera model for synthetic image generation
SIGGRAPH '81 Proceedings of the 8th annual conference on Computer graphics and interactive techniques
Stochastic sampling in computer graphics
ACM Transactions on Graphics (TOG)
Antialiasing of interlaced video animation
SIGGRAPH '90 Proceedings of the 17th annual conference on Computer graphics and interactive techniques
The accumulation buffer: hardware support for high-quality rendering
SIGGRAPH '90 Proceedings of the 17th annual conference on Computer graphics and interactive techniques
An updated cross-indexed guide to the ray-tracing literature
ACM SIGGRAPH Computer Graphics
A human's eye view: motion blur and frameless rendering
Crossroads - Special issue on computer graphics
Visibility sorting and compositing without splitting for image layer decompositions
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Integrated analytic spatial and temporal anti-aliasing for polyhedra in 4-space
SIGGRAPH '85 Proceedings of the 12th 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
Particle Systems—a Technique for Modeling a Class of Fuzzy Objects
ACM Transactions on Graphics (TOG)
Applications of computer graphics to the visualization of meteorological data
SIGGRAPH '88 Proceedings of the 15th 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
EGRW '02 Proceedings of the 13th Eurographics workshop on Rendering
Kinetic visualization: a technique for illustrating 3D shape and structure
Proceedings of the conference on Visualization '02
IEEE Transactions on Visualization and Computer Graphics
Using Motion to Illustrate Static 3D Shape- Kinetic Visualization
IEEE Transactions on Visualization and Computer Graphics
Temporal anti-aliasing in computer generated animation
SIGGRAPH '83 Proceedings of the 10th annual conference on Computer graphics and interactive techniques
An analytic visible surface algorithm for independent pixel processing
SIGGRAPH '84 Proceedings of the 11th annual conference on Computer graphics and interactive techniques
SIGGRAPH '84 Proceedings of the 11th annual conference on Computer graphics and interactive techniques
Variance Invariant Adaptive Temporal Supersampling for Motion Blurring
PG '03 Proceedings of the 11th Pacific Conference on Computer Graphics and Applications
Motion-Based Motion Deblurring
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM SIGGRAPH 2005 Papers
Automatic expressive deformations for stylizing motion
Proceedings of the 4th international conference on Computer graphics and interactive techniques in Australasia and Southeast Asia
Scanning Depth of Route Panorama Based on Stationary Blur
International Journal of Computer Vision
Vehicle speed detection from a single motion blurred image
Image and Vision Computing
Frequency analysis and sheared reconstruction for rendering motion blur
ACM SIGGRAPH 2009 papers
Depth from stationary blur with adaptive filtering
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
ACM SIGGRAPH 2010 papers
Modeling of image shutters and motion blur in analog and digital camera systems
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Technical Section: Real-time temporal shaping of high-speed video streams
Computers and Graphics
Temporal light field reconstruction for rendering distribution effects
ACM SIGGRAPH 2011 papers
A reconstruction filter for plausible motion blur
I3D '12 Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games
Photo-Consistent motion blur modeling for realistic image synthesis
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
Gaze-Dependent depth-of-field effect rendering in virtual environments
SGDA'11 Proceedings of the Second international conference on Serious Games Development and Applications
Photo-consistent synthesis of motion blur and depth-of-field effects with a real camera model
Image and Vision Computing
NPH'07 Proceedings of the Third Eurographics conference on Natural Phenomena
Motion blur for textures by means of anisotropic filtering
EGSR'05 Proceedings of the Sixteenth Eurographics conference on Rendering Techniques
Point-based surface rendering with motion blur
SPBG'04 Proceedings of the First Eurographics conference on Point-Based Graphics
Scalable Programmable Motion Effects on GPUs
Computer Graphics Forum
5D Covariance tracing for efficient defocus and motion blur
ACM Transactions on Graphics (TOG)
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This paper describes a procedure for modeling motion blur in computer-generated images. Motion blur in photography or cinematography is caused by the motion of objects during the finite exposure time the camera shutter remains open to record the image on film. In computer graphics, the simulation of motion blur is useful both in animated sequences where the blurring tends to remove temporal aliasing effects and in static images where it portrays the illusion of speed or movement among the objects in the scene. The camera model developed for simulating motion blur is described in terms of a generalized image-formation equation. This equation describes the relationship between the object and corresponding image points in terms of the optical system-transfer function. The use of the optical system-transfer function simplifies the description of time-dependent variations of object motion that may occur during the exposure time of a camera. This approach allows us to characterize the motion of objects by a set of system-transfer functions which are derived from the path and velocity of objects in the scene and the exposure time of a camera.