Quantized Lite Convolutional Neural Network Hardware Accelerator Design with FPGA for Face Direction Recognition.
Ko-Yi JiangHsing-Yao WangChung-Bin WuYin-Tsung HwangChih-Peng FanPublished in: ICCE-TW (2022)
Keyphrases
- convolutional neural network
- field programmable gate array
- hardware architecture
- hardware design
- single chip
- hardware implementation
- real time
- fpga implementation
- recognition rate
- design process
- programmable logic
- xilinx virtex
- fpga technology
- low cost
- face detection
- object recognition
- circuit design
- signal processing
- low power consumption
- embedded systems
- method for face recognition
- hardware architectures
- reconfigurable hardware
- recognition engine
- parallel hardware
- hardware software co design
- digital circuits
- expression recognition
- gait recognition
- hardware and software
- recognition algorithm
- recognition accuracy
- human faces
- computer systems
- high speed
- feature vectors
- face recognition
- image processing