A Low-Complexity End-to-End Stereo Matching Pipeline From Raw Bayer Pattern Images to Disparity Maps.
Shengyu GaoHongyu WangXin LouPublished in: IEEE Access (2021)
Keyphrases
- stereo matching
- disparity map
- end to end
- low complexity
- stereo matching algorithm
- stereo images
- image matching
- stereo algorithm
- stereo vision
- ground truth
- stereo algorithms
- belief propagation
- stereo pair
- stereo reconstruction
- depth map
- disparity space
- image pairs
- dense disparity map
- stereo correspondence
- depth discontinuities
- dynamic programming
- input image
- motion estimation
- stereo matching algorithms
- matching cost
- post processing
- normalized cross correlation
- disparity range
- depth estimation
- depth information
- occlusion handling
- search range
- computational complexity
- three dimensional
- image data
- object recognition
- image registration
- computer vision
- object boundaries
- single image
- optical flow
- high quality