This document specifies a general channel mechanism for sending messages, such as Bidirectional Forwarding Detection (BFD) messages, between Routing Bridges (RBridges) and between RBridges and end stations in an RBridge campus through extensions to the Transparent Interconnection of Lots of Links (TRILL) protocol. Information about the current status of this document, any errata, and how to pro...

Pattern clustering is an important data analysis process useful in a wide spectrum of computer vision applications. In addition to choosing the appropriate clustering methods, particular attention should be paid to the choice of the features describing patterns in order to improve the clustering performance. This paper presents a novel feature descriptor, referred as Histogram of Structure Tens...

This paper proposes a novel method to deal with the representation issue in texture classification. A learning framework of image descriptor is designed based on the Fisher separation criteria (FSC) to learn most reliable and robust dominant pattern types considering intraclass similarity and inter-class distance. Image structures are thus be described by a new FSC-based learning (FBL) encoding...

The aim of this paper is to analyze the undamped second order descriptor systems to show the possibility of transform an undamped second order descriptor system to a pure first order descriptor system ,on different ways, while stating some of its benefits. Meanwhile we will introduce pure first order systems and undamped second order systems and indicate that under some assumptions every undamp...

Binary feature descriptors have been widely used in various visual measurement tasks, particularly those with limited computing resources and storage capacities. Existing binary may not perform well for long-term tasks due to their sensitivity illumination variations. It can be observed that when image changes dramatically, the relative relationship among local patches mostly remains intact. Ba...

Local Binary Pattern is the most popular texture classification feature. It also shows excellent face detection performance. It is robust to the illumination and contrast variations as it considers the signs of the pixel differences. A Histogramming Local Binary Pattern code makes the descriptor resistant to translations within the Histogramming neighborhood. The two sets of novel edge-texture ...

Local binary pattern (LBP) operators have become commonly used texture descriptors in recent years. Several new LBP-based descriptors have been proposed, of which some aim at improving robustness to noise. To do this, the thresholding and encoding schemes used in the descriptors are modified. In this article, the robustness to noise for the eight following LBP-based descriptors are evaluated; i...

A new method to describe texture images using a hybrid combination of local and global texture descriptors is proposed in this paper. In this regard, a new adaptive local binary pattern (ALBP) descriptor is presented in order to carry out the local description. It is built by adding oriented standard deviation information to an ALBP descriptor in order to achieve a more complete representation ...

Abstract Many of the research problems in robot vision involve detection keypoints, areas with salient information input images and generation local descriptors, that encode relevant for such keypoints. Computer solutions have recently relied on Deep Learning techniques, which make extensive use computational capabilities available. In autonomous robots, these are usually limited and, consequen...