Robust Direct Visual Odometry Estimation for a Monocular Camera Under Rotations

Autor: Annamalai Lakshmi, Faheema Agj, Dipti Deodhare
Rok vydání: 2018
Předmět:
0209 industrial biotechnology
Control and Optimization
Computer science
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Biomedical Engineering
02 engineering and technology
Simultaneous localization and mapping
020901 industrial engineering & automation
Odometry
Artificial Intelligence
Motion estimation
0202 electrical engineering
electronic engineering
information engineering

Homography
Computer vision
Visual odometry
Pose
ComputingMethodologies_COMPUTERGRAPHICS
Monocular
business.industry
Mechanical Engineering
Computer Science Applications
Visualization
Human-Computer Interaction
Control and Systems Engineering
Computer Science::Computer Vision and Pattern Recognition
020201 artificial intelligence & image processing
Computer Vision and Pattern Recognition
Artificial intelligence
business
Parallax
Zdroj: IEEE Robotics and Automation Letters. 3:367-372
ISSN: 2377-3774
DOI: 10.1109/lra.2017.2755070
Popis: The objective of this letter is to enhance the accuracy of the monocular visual odometry estimation. The proposed approach estimates pose of the camera via direct approach, by minimizing a novel photometric residue between the current image and warped version of the consecutive image. The novel photometric residue incorporates orientation information accessible from complementary sensor to overcome the inalienable nonlinearity of pose estimation, accordingly lessening the susceptibility to trajectory noise. In addition, this letter introduces a homography-based rotation motion estimation embedded into the photometric residue to reduce tracking failure amid rotations, which could be attributed to lesser number of features with parallax. The proposed methodology permits to integrate Gaussian mixture based prior into visual odometry estimation to cater for changes in motion type, from general to rotation and other way round. Comprehensive experiments have been conducted to exhibit the efficacy of the proposed solution over the best in class visual odometry and visual-inertial systems.
Databáze: OpenAIRE