A fast pipeline for textured object recognition in clutter using an RGB-D sensor.
Kanzhi WuRavindra RanasingheGamini DissanayakePublished in: ICARCV (2014)
Keyphrases
- object recognition
- sensor networks
- microsoft kinect
- computer vision
- kinect sensor
- sensor data
- object categorization
- natural images
- d objects
- object detection
- object class
- object categories
- man made
- real time
- visual recognition
- depth information
- image matching
- keypoints
- image features
- image representation
- visual object recognition
- processing pipeline
- man made objects
- constrained search
- indoor scenes
- pipeline architecture
- sensor fusion
- scene classification
- image understanding
- data acquisition
- shape recognition
- model construction
- scene understanding
- depth data
- indoor environments
- depth cameras
- textured surfaces
- template matching
- camera tracking
- image regions
- pose estimation
- image classification
- image segmentation