Local feature based unsupervised alignment of object class images

Keyphrases

• Feature-based 100%
• Visual Object Recognition 100%
• Local Features 100%
• Object Class 100%
• Unsupervised Alignment 100%
• Caltech101 66%
• Superior Performance 33%
• Image-based 33%
• Semi-supervised Method 33%
• Class Label 33%
• Work-related 33%
• Intra-class Variation 33%
• Categorization Method 33%
• Local Descriptor 33%
• Local Feature Detector 33%
• Manual Annotation 33%
• Random Sample Consensus (RANSAC) 33%
• Homography Estimation 33%
• Explicit Solution 33%
• Background Clutter 33%
• Alignment Problem 33%
• Spatial Cross-validation 33%
• Geometric Variation 33%
• Image Label 33%
• Initial Alignment 33%
• Matching Approach 33%
• Part-based Method 33%
• Consensus-based 33%
• Scoring Method 33%
• Feature Matching 33%
• Feature-based Algorithms 33%

Computer Science

• local feature 100%
• Classification 75%
• Supervised Method 25%
• Superior Performance 25%
• Annotation 25%
• feature descriptor 25%
• Feature Detector 25%
• Spatial Variation 25%
• Explicit Solution 25%
• Matching Approach 25%