Image registration has always been an important research topic. This paper proposes a novel method of constructing descriptors called the histogram oriented local binary pattern descriptor (HOLBP) for fast and robust matching. There are three new components in our algorithm. First, we redefined gradient angle calculation template to make it more sensitive edge information. Second, proposed cons...

Technical mismatches between the training and matching conditions adversely affect the performance of a speaker recognition system. In this paper, we present a matching scheme which is invariant to feature rotation, translation and uniform scaling. The proposed approach uses a neighborhood graph to represent the global shape of the feature distribution. The reference and test graphs are aligned...

We propose a new method for object tracking in image sequences using template matching. To update the template, appearance features are smoothed temporally by robust and adaptive Kalman filters, one to each pixel, making the method robust against severe occlusions. The method is also robust to abrupt changes of lighting conditions, especially when photometric invariant color features are used t...

We present the construction of combined blur and rotation moment invariants in arbitrary number of dimensions. Moment invariants to convolution with an arbitrary centrosymmetric filter are derived first, and then their rotationally invariant forms are found by means of group representation theory to achieve the desired combined invariance. Several examples of the invariants are calculated expli...

In recent years, data collected from remote sensing satellite and aerophotography have been showing a geometric sequence increase. A method of Scale Invariant Feature Transform (SIFT) algorithm could be employed for the automatic geometric fine correction. This method could avoid the impact of the rotation and zooming of template matching during the image matching process, and it can also save ...

We present a method to reconstruct a disordered network of thin biopolymers, such as collagen gels, from three-dimensional (3D) image stacks recorded with a confocal microscope. The method is based on a template matching algorithm that simultaneously performs a binarization and skeletonization of the network. The size and intensity pattern of the template is automatically adapted to the input d...

In real-time monitoring process, resolution must be set against field vision. There are two problems in the real-time monitoring procedures, which are: the field vision is too small to capture the target completely and a larger field vision with low resolution . In order to solve these problems, a new type of real-time panoramic monitoring systems becomes necessary. In this paper, we proposed a...

We present a numerically efficient method to reconstruct a disordered network of thin biopolymers, such as collagen gels, from three-dimensional (3D) image stacks recorded with a confocal microscope. Our method is based on a template matching algorithm that simultaneously performs a binarization and skeletonization of the network. The size and intensity pattern of the template is automatically ...

This paper presents invariants under gamma correction and similarity transformations. The invariants are local features based on differentials which are implemented using derivatives of the Gaussian. The use of the proposed invariant representation is shown to yield improved correlation results in a template matching scenario.