Amanote Research
Register
Sign In
RGB-D Flow: Dense 3-D Motion Estimation Using Color and Depth
doi 10.1109/icra.2013.6630885
Full Text
Open PDF
Abstract
Available in
full text
Date
May 1, 2013
Authors
Evan Herbst
Xiaofeng Ren
Dieter Fox
Publisher
IEEE
Related search
RGB-D Mapping: Using Kinect-Style Depth Cameras for Dense 3D Modeling of Indoor Environments
International Journal of Robotics Research
Electronic Engineering
Mechanical Engineering
Applied Mathematics
Simulation
Electrical
Modeling
Artificial Intelligence
Software
Dynamic Pose Estimation Using Multiple RGB-D Cameras
Sensors
Instrumentation
Information Systems
Electronic Engineering
Biochemistry
Analytical Chemistry
Molecular Physics,
Electrical
Atomic
Medicine
Optics
Color and Depth Data Fusion Using an RGB-D Sensor for Inexpensive and Contactless Dynamic Displacement-Field Measurement
Structural Control and Health Monitoring
Building
Civil
Construction
Mechanics of Materials
Structural Engineering
Real-Time Visual Odometry From Dense RGB-D Images
Robust Odometry Estimation for RGB-D Cameras
Fast Depth Edge Detection and Edge Based RGB-D SLAM
Depth Structure Association for RGB-D Multi-Target Tracking
Robust Real-Time Visual Odometry for Dense RGB-D Mapping
Real-Time RGB-D Mapping and 3-D Modeling on the GPU Using the Random Ball Cover