Uma metodologia de projeto e validação de sistemas de detecção de faces.

Abstract

A methodology for hardware design and validation of face detection systems is discussed. The design begins at a high-level of abstraction by using a software library as the golden reference model. The golden reference model and the baseline model (model under validation) are converted to a transaction level (TLM) description or a register transfer level (RTL) description. The degree of similarity of the detected faces is used to determine whether the model under validation fulfills the prescribed design requirements. The methodology is conceived for real time high resolution image processing applications and is based on the universal verification methodology (UVM). As a case study, the methodology was applied to validate a C++ baseline model written to implement the OpenCV library considered as the golden reference model. In this case both models have been converted to TLM and thus the time required for determining whether the baseline model is valid or not is significantly reduced. Thus, one can decide before proceeding with the conversion of the baseline model to RTL, if the TLM model needs improvement.