Gharavi, H.
and Gao, S.
(2007),
Recursive Motion Estimation of Range Image, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-07), , USA, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=51130
(Accessed April 19, 2024)
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
Recursive Motion Estimation of Range Image
Published
Author(s)
,
Abstract
In this paper, we present an innovative recursive motion estimation technique that can take advantage of the in-depth resolution (range) to perform an accurate estimation of objects that have undergone 3-D translational and rotational movements. This approach iteratively aims at minimizing the error between the object in the current frame and its compensated object using estimated motion displacement from the previous range measurements. In addition, in order to use the range data on the non-rectangular grid in the Cartesian coordinate, we consider a combination of derivative filters and the transformation between the Cartesian coordinates and the sensor-centered coordinates. For sequences of moving range images we demonstrate the effectiveness of the proposed scheme.Conference Location
, USA
Conference Title
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-07)
Pub Type
Conferences
Download Paper
Keywords
3-D motion estimation, Ladar, Laser scanners, object tracking, range image
Citation
Created April 3, 2007, Updated October 12, 2021