A Lightweight and Noise-Robust Method for Internal OCT Fingerprint Reconstruction

Engineering

• Internals 100%
• Structure Information 50%
• Feature Point 33%
• Fingerprint Image 33%
• High Resolution 16%
• Tasks 16%
• Experimental Result 16%
• Model Parameter 16%
• Biological Tissue 16%
• Spatial Structure 16%
• Pixel Value 16%
• Equal Error Rate 16%
• Spatial Information 16%
• Data Volume 16%
• Linear Interpolation 16%

Keyphrases

• Central Vertex 40%
• Minimum Point 20%
• Feature Point Extraction 20%
• Temporal Shift Module 20%
• Target Curve 20%
• Recognition Ability 20%
• Noise Robust Feature 20%
• Under the Skin 20%
• Depth Range 20%
• Feature Point Detection 20%
• Relative Reduction 20%
• Volume Data 20%
• ShuffleNet 20%
• Extraction Model 20%
• Upper Envelope 20%
• Spatial Structure Information 20%

Computer Science

• Feature Point Detection 50%