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This paper describes the image recognition algorithm for on-board and stationary vision system. Suggested algorithm is intended to recognize the aerial object of a specific kind using the set of the r...
In this paper we present several descriptors for feature-based matching based on autoencoders, and we evaluate the performance of these descriptors. In a training phase, we learn autoencoders from ima...
In this paper we describe our recent work on the automatic extraction of trees from high resolution aerial images. In order to be more independent of color information we have investigated textural ...
In this paper, a novel Sparsely Encoded Local Descriptor (SELD) is proposed for face recognition. Compared with K-means or Random-projection tree based previous methods, sparsity constraint is introdu...
A large amount of videos on the Internet are generated from authorized sources by various kinds of transformations. Many works are proposed for robustdescription of video, which lead to satisfying ma...
Given an image region of pixels, second order statistics can be used to construct a descriptor for object representation. One example is the covariance matrix descriptor, which shows high discriminati...
This paper considers the problem of robust discrete-time sliding-mode control (DT-SMC) design for a class of uncertain linear systems with time-varying delays. By applying a descriptor model transform...
In this paper, we present a new shape descriptor, which is named Poisson equation-Fourier-Mellin moment Descriptor. We solve the Poisson equation in the shape area, and use the solution to get feature...
Given an image region of pixels, second order statistics can be used to construct a descriptor for object representation. One example is the covariance matrix descriptor, which shows high discriminat...
From visual perception viewpoint, actions in videos can capture high-level semantics for video content understanding and retrieval.However, action-level video retrieval meets great challenges, due to ...
Inspired by Weber's Law, this paper proposes a simple,yet very powerful and robust local descriptor, Weber Local Descriptor (WLD). It is based on the fact that human perception of a pattern depends on...
From visual perception viewpoint, actions in videos can capture high-level semantics for video content understanding and retrieval. However, action-level video retrieval meets great challenges, due ...
Inspired by Weber's Law, this paper proposes a simple, yet very powerful and robust local descriptor, Weber Local Descriptor (WLD). It is based on the fact that human perception of a pattern depends o...
Extraction of stable local invariant features is very important in many computer vision applications, such as image matching, object recognition and image retrieval. Most existing local invariant fea...
Image matching is a fundamental task of many computer vision problems. In this paper we present a novel approach for matching two images in the presence of image rotation, scale, and illumination chan...

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