A fast sparse reconstruction approach for high resolution image-based object surface anomaly detection.
Woon Huei ChaiShen-Shyang HoChi-Keong GohLiang-Tien ChiaHiok Chai QuekPublished in: MVA (2017)
Keyphrases
- anomaly detection
- object surface
- high resolution
- low resolution
- range data
- light source
- image patches
- complex scenes
- super resolution
- surface normals
- point cloud
- image processing
- high quality
- illumination conditions
- unsupervised learning
- sparse representation
- range images
- specular reflection
- computer vision
- point correspondences
- surface reconstruction
- face images
- machine learning
- depth map
- photometric stereo
- high dimensional data
- reinforcement learning
- multiscale