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The synergistic combination of single standing methods for the efficient and effective solution of complex problems represent the next level of research the last two decades in the area of computer vision and image understanding, due to their complicated challenges. Many of these combinations are based on the human researcher's experimental studies and most recently on a semi-automated or automated...
Skin detection plays an important role in a wide range of image processing applications ranging from face detection, face tracking, gesture analysis, content-based image retrieval systems and to various human computer interaction domains. Recently, skin detection methodologies based on skin-color information as a cue has gained much attention as skin-color provides computationally effective yet, robust...
In this article, we present a local global graph (LGG) method for recognizing facial expressions from static images irrespective of different illumination conditions, shadows and cluttered backgrounds. First, a neural color constancy based skin detection procedure to detect skin in complex real world images is presented. Second, the LGG method for detecting faces and facial expressions with a maximum...
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