Local features and kernels for classification of texture and object categories: a comprehensive study

Keyphrases

• Background Clutter 50%
• Comparing Distributions 50%
• Earth Mover's Distance 50%
• Effective Metric 50%
• Feature Extracting 50%
• Histogram 50%
• Image Representation 50%
• Intra-class Variation 50%
• Kernel-based 50%
• Keypoint Descriptors 50%
• Keypoint Detector 50%
• Large-scale Assessment 50%
• Local Features 100%
• Local Image Features 50%
• Local Kernel 100%
• Localization Information 50%
• Object Categories 100%
• Object Localization 50%
• Object Recognition Task 50%
• Object-oriented Database 50%
• Recognition Method 50%
• Recognition Performance 50%
• Sparse Sets 50%
• Support Vector Machine Classifier 50%
• Texture Category 100%
• Texture Recognition 50%

Computer Science

• Comparative Evaluation 50%
• Extracted Feature 50%
• image feature 50%
• Image Representation 50%
• local feature 100%
• Object (Databases) 50%
• Object Category 100%
• Object Recognition 50%
• Recognition Performance 50%
• Reported Result 50%
• Support Vector Machine 50%