Inferring changes in intrinsic parameters from motion blur. (November 2015)

• Record Type: Journal Article
• Authors: Barber, Alastair; Brown, Matthew; Hogbin, Paul; Cosker, Darren
• Is Part Of: Computers & graphics. Volume 52(2015)
• Page Start: 155
• Page End: 170
• Publication Date: 2015-11
• Subjects: Visual effects -- Matchmove -- Feature tracking -- Blur -- Structure from Motion -- Camera Calibration; Computer graphics -- Periodicals; 006.6
• DOI: 10.1016/j.cag.2015.05.022
• Languages: English
• ISSNs: 0097-8493

Abstract

Abstract: Estimating changes in camera parameters, such as motion, focal length and exposure time over a single frame or sequence of frames, is an integral part of many computer vision applications. Rapid changes in these parameters often cause motion blur to be present in an image, which can make traditional methods of feature identification and tracking difficult. In this work we describe a method for tracking changes in two camera intrinsic parameters – shutter angle and scale changes brought about by changes in focal length . We also provide a method for estimating the expected accuracy of the results obtained using these methods and evaluate how the technique performs on images with a low depth of field, and therefore likely to contain blur other than that brought about by motion. Abstract : Graphical abstract: Abstract : Highlights: We show methods for determining shutter angle and scale change from blurred images. We present a method for overcoming previous limitations of using blurred images. We use accurate ground truths of real and synthetic images to asses our methods. Shown also are results for alligning blurred footage to unregistered hardware data.