Amanote Research
Register
Sign In
Real-Time Tracking and Pose Estimation for Industrial Objects Using Geometric Features
doi 10.1109/robot.2003.1242127
Full Text
Open PDF
Abstract
Available in
full text
Date
Unknown
Authors
G.N. DeSouza
A.C. Kak
Publisher
IEEE
Related search
Combined Framework for Real-Time Head Pose Estimation Using Facial Landmark Detection and Salient Feature Tracking
Coarse Pose Registration Using Local Geometric Features
Real-Time Object Detection and Tracking for Industrial Applications
Skeletal Graph Based Human Pose Estimation in Real-Time
Vision-Based Trajectory Tracking for Mobile Robots Using Mirage Pose Estimation Method
IET Computer Vision
Computer Vision
Pattern Recognition
Software
Local Image Features Matching for Real-Time Seabed Tracking Applications
Journal of Marine Engineering and Technology
Ocean Engineering
Real Time Monocular Visual Odometry Using Hybrid Features and Distance Ratio for Scale Estimation
International Journal on Advanced Science, Engineering and Information Technology
Agricultural
Engineering
Computer Science
Biological Sciences
Regression From Local Features for Viewpoint and Pose Estimation
A Comparison of Iterative 2d-3d Pose Estimation Methods for Real-Time Applications
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science