We propose a compact descriptor for the purpose of dense image matching and object recognition. The descriptor is calculated based on local gradients about each point in an image. It contains the averages of gradients at four different windows surrounding a center point. The descriptor is calculated much faster than histogram of oriented gradients (HOG). Additionally, it will be shown that it i...

This paper investigate a binary local image descriptor for Augmented Reality (AR) applications. Recently, various fields are benefit from AR. This technique can enhance the real environment by inserting virtual objects generated by computer. Temporal coherence between virtual and real objects must be ensure in AR system realization. In this paper, object recognition based on extracted natural f...

This study explores ways to increase both the usability and accuracy of design information retrieval and reuse. The DedalAI system attempts to achieve these goals by automatically indexing design concepts in electronic notebooks. DedalAI relies on a two part query structure: a descriptor, which is a generic design concept, and a subject, which is a specific part of a design model. DedalAI build...

The most important part of an Augmented Reality system is the tracking system to support an accurate and robust registration. In outdoor environments, the continuously changing environmental characteristics and elements make hard to achieve this tracking process. The main point of this operation is that the descriptor has to work with great accuracy in all kind of situations. The most used desc...

This paper presents a texture descriptor for color texture classification specially designed to be robust against changes in the illumination conditions. The descriptor combines a histogram of local binary patterns (LBPs) with a novel feature measuring the distribution of local color contrast. The proposed descriptor is invariant with respect to rotations and translations of the image plane and...

This paper presents a classification scheme for audio signals using high-level feature descriptors. The descriptor is designed to capture the relevance of each acoustic feature group (or feature set like mel-frequency cepstral coefficients, perceptual features etc.) in recognizing an audio class. For this, a bank of RVM classifiers are modeled for each ‘audio class’-‘feature group’ pair. The re...

The paper is concerned with robust H∞ non-fragile controller design for uncertain descriptor systems with time-delay. A descriptor system has potential to describe a wide class of physical systems. It can give a representation of the system with algebraic constraints. A unique characteristic of descriptor systems is possible impulse modes and nonregularity, which do not appear in state-space sy...

A method for solving the descriptor discrete-time linear system is focused. For easily, it is converted to a standard discrete-time linear system by the definition of a derivative state feedback. Then partial eigenvalue assignment is used for obtaining state feedback and solving the standard system. In partial eigenvalue assignment, just a part of the open loop spectrum of the standard linear s...

The complexity in shape context method and its simplification is addressed. A novel, but simple approach to design shape context method including Fourier Transform for the object recognition is described. Relevance of shape context, an important descriptor for the recognition process is detailed. Inclusion of information regarding all the contour points (with respect to a reference point) in co...

Among the chief applications of the MPEG-7 visual descriptors is image indexing and retrieval. And among the colour image descriptors in the Standard having the best retrieval performance is the Colour Structure (CS) Descriptor, a descriptor that uses no more storage than an ordinary colour histogram but that substantially out-performs it. The basis of the CS Descriptor is the CS histogram, a g...