Title
Motion-invariant photography
Abstract
Object motion during camera exposure often leads to noticeable blurring artifacts. Proper elimination of this blur is challenging because the blur kernel is unknown, varies over the image as a function of object velocity, and destroys high frequencies. In the case of motions along a 1D direction (e.g. horizontal) we show that these challenges can be addressed using a camera that moves during the exposure. Through the analysis of motion blur as space-time integration, we show that a parabolic integration (corresponding to constant sensor acceleration) leads to motion blur that is invariant to object velocity. Thus, a single deconvolution kernel can be used to remove blur and create sharp images of scenes with objects moving at different speeds, without requiring any segmentation and without knowledge of the object speeds. Apart from motion invariance, we prove that the derived parabolic motion preserves image frequency content nearly optimally. That is, while static objects are degraded relative to their image from a static camera, a reliable reconstruction of all moving objects within a given velocities range is made possible. We have built a prototype camera and present successful deblurring results over a wide variety of human motions.
Year
DOI
Venue
2008
10.1145/1399504.1360670
ACM Trans. Graph.
Keywords
Field
DocType
human motion,object velocity,object speed,coded imaging,blur kernel,object motion,motion deblurring,space-time,computational photography,motion blur,motion-invariant photography,motion invariance,camera exposure,prototype camera,parabolic motion,high frequency,space time
Computer vision,Motion field,Deblurring,Computer graphics (images),Computer science,Computational photography,Motion blur,Motion interpolation,Artificial intelligence,Image restoration,Projectile motion,Match moving
Journal
Volume
Issue
ISSN
27
3
0730-0301
Citations 
PageRank 
References 
53
3.09
11
Authors
5
Name
Order
Citations
PageRank
Anat Levin13578212.90
Peter Sand235122.63
Taeg Sang Cho321512.62
Frédo Durand48625414.94
William T. Freeman5173821968.76