Paper Info
Title
Fast camera motion estimation for hand-held devices and applications
Abstract
In this paper we present an efficient motion estimation algorithm for camera-enabled handheld devices, such as mobile phones and PDAs. Compared to general camera motion estimation, the estimation of ego-motion of handheld devices presents unique challenges because most devices are limited in resources (processing power, memory and battery). The algorithm must be lightweight so it can be efficiently embedded and run fast enough to produce smooth seamless translation. Our solution includes a multi-resolution scheme which searches the match from coarse to fine; and optimization of the search space. As a demonstration, we implemented the algorithm on the Symbian based Nokia 3650/6600 camera phone, and explored several interesting applications, including using camera motion for browsing documents and as a pointing device. A cross-platform implementation is also discussed.
Year
DOI
Venue
2005
10.1145/1149488.1149505
MUM
Keywords
Field
DocType
fast camera motion estimation,browsing document,cross-platform implementation,handheld device,camera phone,efficient motion estimation algorithm,camera-enabled handheld device,general camera motion estimation,mobile phone,camera motion,hand-held device,interesting application,pointing device,motion estimation,search space
Camera phone,Computer science,Camera auto-calibration,Hand held devices,Pointing device,Human–computer interaction,Artificial intelligence,Motion estimation,Computer hardware,Match moving,Computer vision,Mobile device,Motion estimation algorithm
Conference
ISBN
Citations 
PageRank 
0-473-10658-2
3
0.51
References 
Authors
12
3
Name
Order
Citations
PageRank
Xu Liu1536.39
David Doermann24313312.70
Huiping Li357438.28