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» Estimating Sensor Orientation in Cameras
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ICCV
2005
IEEE
15 years 11 months ago
Shape Recovery of 3D Data Obtained from a Moving Range Sensor by Using Image Sequences
For a large object, scanning from the air is one of the most efficient methods of obtaining 3D data. But in the case of large cultural heritage objects, there are some difficultie...
Atsuhiko Banno, Katsushi Ikeuchi
PAMI
2007
222views more  PAMI 2007»
14 years 9 months ago
MonoSLAM: Real-Time Single Camera SLAM
—We present a real-time algorithm which can recover the 3D trajectory of a monocular camera, moving rapidly through a previously unknown scene. Our system, which we dub MonoSLAM,...
Andrew J. Davison, Ian D. Reid, Nicholas Molton, O...
MM
2009
ACM
171views Multimedia» more  MM 2009»
15 years 4 months ago
SaVE: sensor-assisted motion estimation for efficient h.264/AVC video encoding
Motion estimation is a key component of modern video encoding and is very compute-intensive. We present a novel Sensor-assisted Video Encoding (SaVE) method to reduce the computat...
XiaoMing Chen, Zhendong Zhao, Ahmad Rahmati, Ye Wa...
FGR
1996
IEEE
202views Biometrics» more  FGR 1996»
15 years 1 months ago
Computing 3-D head orientation from a monocular image sequence
An approach for estimating 3D head orientation in a monocular image sequence is proposed. The approach employs recently developed image-based parameterized tracking for face and f...
Thanarat Horprasert, Yaser Yacoob, Larry S. Davis
ICPR
2006
IEEE
15 years 10 months ago
Vehicle Lateral Position Estimation Method Based on Matching of Top-View Images
In this paper, a method to estimate the lateral position of the vehicle from a sequence of moving camera images is proposed. Proposed method relies on the plane projective transfo...
Tomoaki Teshima, Hideo Saito, Shinji Ozawa, Keiich...