Pixel difference networks for efficient edge detection
Abstract Recently, deep Convolutional Neural Networks (CNNs) can achieve human-level
performance in edge detection with the rich and abstract edge representation capacities …
performance in edge detection with the rich and abstract edge representation capacities …
From BoW to CNN: Two decades of texture representation for texture classification
Texture is a fundamental characteristic of many types of images, and texture representation
is one of the essential and challenging problems in computer vision and pattern recognition …
is one of the essential and challenging problems in computer vision and pattern recognition …
Rigid-motion scattering for texture classification
Local energy pattern for texture classification using self-adaptive quantization thresholds
Local energy pattern, a statistical histogram-based representation, is proposed for texture
classification. First, we use normalized local-oriented energies to generate local feature …
classification. First, we use normalized local-oriented energies to generate local feature …