Given a video signal, we generate an alpha matte based on the chromakey information. The computation is done in interactive-time using pixel shaders. To accomplish this, we use Principle Components Analysis to generate a linear transformation matrix where the resulting color triplets Euclidean distance is directly related to the probability that the color exists in the chromakey spectrum. The result of this process is a trimap of the video signals opacity. To solve the alpha matte from the trimap, we minimize an energy function constrained by the trimap with gradient descent. This energy function is based on the least-squared error of overlapping neighborhoods around each pixel and is independent of the background or foreground color.
Application Serial Number
Assignee at Issuance
College of Engineering and Computer Science (CECS)
Electrical Engineering & Computer Science - CS Division
Assignee at Filing
Nonprovisional Application Record
Hughes, Charles; Beato, Nicholas; Colbert, Mark; Yamazawa, Kazumasa; and Zhang, Yunjun, "Real-Time Chromakey Matting Using Image Statistics" (2013). UCF Patents. 490.