This manual describes SAMSUNG s S3C2410A 16/32-bit RISC microprocessor. This product is designed to provide
hand-held devices and general applications with cost-effective, low-power, and high-performance micro-controller
solution in small die size. To reduce total system cost, the S3C2410A includes the following components separate
16KB Instruction and 16KB Data Cache, MMU to handle virtual memory management, LCD Controller (STN & TFT),
NAND Flash Boot Loader, System Manager (chip select logic and SDRAM Controller), 3-ch UART, 4-ch DMA, 4-ch
Timers with PWM, I/O Ports, RTC, 8-ch 10-bit ADC and Touch Screen Interface, IIC-BUS Interface, IIS-BUS
Interface, USB Host, USB Device, SD Host & Multi-Media Card Interface, 2-ch SPI and PLL for clock generation.
hese are the zip files that are associated with application note
ADSP-BF533 Blackfin Booting Process (EE-240)
example.zip:
Used throughout the EE-note to explain in detail the various booting modes.
BF533 Ez Kit Multiple DXE Boot.zip:
Multi-DXE Boot Example used with the ADSP-BF533 Ez-Kit Lite.
Host Boot.zip:
Example Host code to demonstrate SPI Slave Mode Booting
Program_Atmel.zip:
Example code that programs the Atmel DataFlashes via an ADSP-BF532 Processor
All programs have been written for VisualDSP++ 3.5
face detection
Face detection can be regarded as a more general case of face localization In face localization, the task is to find the locations and sizes of a known number of faces (usually one). In face detection, one does not have this additional information.
Early face-detection algorithms focused on the detection of frontal human faces, whereas newer algorithms attempt to solve the more general and difficult problem of multi-view face detection. That is, the detection of faces that are either rotated along the axis from the face to the observer (in-plane rotation), or rotated along the vertical or left-right axis (out-of-plane rotation),or both.
