Depth estimation from a single RGB image using target foreground and background scene variations.
P. J. A. AlphonseK. V. SriharshaPublished in: Comput. Electr. Eng. (2021)
Keyphrases
- depth estimation
- foreground and background
- depth map
- scene understanding
- stereo vision
- single image
- input image
- depth information
- stereo matching
- dynamic scenes
- target object
- real scenes
- stereo pair
- d scene
- feature matching
- foreground objects
- mean shift
- image features
- vision system
- object recognition
- segmentation method
- motion segmentation
- image retrieval
- high quality
- video sequences
- background subtraction
- bayesian framework
- complex scenes
- disparity map
- d objects
- image sequences
- moving objects
- high resolution
- color images
- space time
- surface reconstruction
- partial occlusion
- object detection
- feature points
- three dimensional
- post processing