In this paper, we present a methodology that uses a deformable template to detect the human eye in static images. Geometrically, the used template is represented by two distinct entities: a circumference, that defines the iris contour; and two parabolas, one concave and other convex, that define respectively, the above and below contours of the eye. The geometrical shape of the used template is...

We propose a novel approach of integrating template matching with statistical modeling to improve continuous speech recognition. We use multiple Gaussian Mixture Model (GMM) indices to represent each frame of speech templates, use hierarchical agglomerative clustering to generate template representatives, and use log likelihood ratio as the local distance measure for DTW template matching in la...

Title of Document: VIDEO TEMPLATE MATCHING ALGORITHM FOR CONSTRUCTION PROJECTS---A HADAMARD DOMAIN APPROACH Xue YANG, Master of Science 2014 Directed By: Professor Ali Haghani Department of Environment and Civil Engineering One exciting prospect of modern construction projects is the potential for multimedia techniques, such as real-time video, to significantly affect the way of project deliver...

This paper presents a corner-based image alignment algorithm based on the procedures of corner-based template matching and geometric parameter estimation. This algorithm consists of two stages: 1) training phase, and 2) matching phase. In the training phase, a corner detection algorithm is used to extract the corners. These corners are then used to build the pyramid images. In the matching phas...

A DTW-based biometric user authentication system needs a DTW template to set up a warping function for a query biometric. In addition, a matching template is required to examine similarity. In this paper, we present a hardened template to protect the DTW template. For the matching template, it is protected by cryptographic framework. We compare our scheme with a transformation approach and an u...

Feature correspondence is an important step in image registration. Chamfer matching is a process of establishing the feature correspondence of an object (subimage) in an image where both the subimage and the image are binary. Chamfer matching establishes correspondence based on low level features. It is the process of locating the template within the image by shifting the template within the im...