The performance of traditional speech algorithms, which are based on audio signal, deteriorates in highly non stationary acoustic environment. Visual information is immune for that type of interruptions and it is helpful for speech perception. Variety of speech algorithms, which are based on the visual signal, assume that a bounding box of the location of lips is know. Therefore, the performance of these algorithms depends on accurate detection of the bounding box of lips. In this project we present two algorithms for accurate detection of lips bounding box.
The first algorithm is purely based on face geometry.
The second algorithm exploits face geometry to define a search area for the location of the lips. Then, a search procedure is applied for the detection of the lips bounding box. The experimental results demonstrates the benefit of the search procedure for accurate detection of the bounding box of lips.