I motivate and defend a previously underdeveloped functionalist account of the metaphysics color, view that call ‘quality-space functionalism’ about color. Although other theorists have proposed varieties color functionalism, this differs from such accounts insofar as it identifies individuates colors by their relative locations within particular kind so-called ‘quality space’ reflects creature...

Skin color is a simple but powerful pixel based feature. Skin color has proven to be a useful and sturdy cue for face detection, localization and tracking, hand detection, etc. Skin color is a useful means for human face detection. In this paper, we propose two color spaces YCbCr and CIELab and compare the results of both color space. Analyze the efficient method for skin color segmentation und...

Deep networks have become very popular over the past few years. The main reason for this widespread use is their excellent ability to learn and predict knowledge in a very easy and efficient way. Convolutional neural networks and auto-­‐encoders have become the normal in the area of imaging and computer vision achieving unprecedented BLOCKIN BLOCKIN accuracy BLOCKIN BLOCKIN levels BLOCKIN BLOCK...

Putting aside metaphorical meanings of the term, color space is understood as a vector space, where lights having the same color (i.e., subjectively indistinguishable) are represented as a point. The CIE 1931 color space, empirically based on trichromatic color measurements, is a classical example. Its derivatives, such as CIELAB and sRGB, have been successfully used in many applications (e.g.,...

To suitably complete an image without seams, block effects, and artifacts, a novel exemplar-based image completion model employing partial differential equation (PDE) is proposed. Firstly, the novel model determines the processing order of exemplar according to a composite function, which is the product of the colour property and structure property in exemplar. Then the exemplar along a geometr...