A Novel Biologically Inspired Structural Model for Feature Correspondence.
Yan-Feng LuXu YangYi LiQian YuZhi-Yong LiuHong QiaoPublished in: IEEE Trans. Cogn. Dev. Syst. (2023)
Keyphrases
- biologically inspired
- structural model
- feature correspondences
- coarse to fine
- structure from motion
- multiple views
- bundle adjustment
- causal models
- partial least squares
- camera calibration
- motion parameters
- mahalanobis distance
- geometric constraints
- human body
- latent variables
- parametric models
- camera pose
- active databases
- multiresolution
- image processing
- multiple images
- object detection
- camera parameters
- missing data
- d objects
- humanoid robot
- multiscale
- causal relationships
- computer vision
- training data
- motion estimation
- feature selection