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A novel method for shape context realization has been presented in this paper and specific application of it in hand-drawn character recognition has been shown. In preprocessing stage, the endpoints of the digital straight line segments defining the object boundary are extracted. The four vertices of the minimum area rectangle bounding these extracted points are used as the reference points for shape...
Coin segmentation, or separating the coin area from its background, is inevitably the first step in any robust classification method. Yet, the fact that almost every research relies exclusively on grayscale images taken in controlled environments, with uniform illumination and backgrounds, wastes a vast asset of images commonly taken by numismatists, sellers and collectors. Admittedly, very often...
Reliable banknote recognition is critical for detecting counterfeit banknotes in ATMs and help visual impaired people. To solve this problem, it was implemented a computer vision system that can recognize multiple banknotes in different perspective views and scales, even when they are within cluttered environments in which the lighting conditions may vary considerably. The system is also able to recognize...
For time division duplex systems with increased bandwidth in 5G, the concept of self-contained transmission has been proposed. Aiming at reduced latency and more flexible resource allocation, this concept involves frequent uplink and downlink switching and relatively short transmission in both directions. In this work, we consider single OFDM symbol transmission within self-contained transmission...
This paper provides an overview and preliminary comparison of several multi-carrier and single- carrier waveforms that are potential candidates for future 5G mobile radio communications above 6 GHz. The waveforms are assessed primarily based on the established and known results as well as recent findings keeping in view the design requirements that are relevant to using frequencies above 6 GHz, especially...
We have examined printing technology which is adaptable to 3DIC bump-forming for (both front-side bump and back-side bump. The materials for bumping require several features for TSV process circumstances and 3DIC stacking followed by reflow. We chose Nano-Function material for the purpose which was initially developed for power semiconductor attachment. The result shows good possibility. 20µm bump...
This paper describes a method for object indexing and retrieval using a new feature descriptor called Partial Dominant Orientation Descriptor (PDOD). The extraction process of the PDOD starts by sampling the object into a set of stable and informative key locations using Difference of Gaussian (DoG), so that the retrieval can proceed successfully despite changes in object viewpoint, scale, illumination,...
This paper presents a new algorithm for the detection and classification of real-time road traffic signs in the video. Our system is able to detect and classify triangular, circular, and octagonal signs of red and blue colors. The proposed system operates into two processing steps: (1) detection and (2) classification road signs. The system has detected candidate regions as Maximally Stable Extremal...
After thirty years of researching, the photometric stereo technique for 3D shape recovery still does not provide reliable results if it is not constrained into very well-controlled scenarios. In fact, dealing with realistic materials and lightings yields a non-linear bidirectional reflectance distribution function which is primarily difficult to parametrize and then arduous to solve. With the aim...
A novel multi-criteria optimization framework for matching of partially visible shapes in multiple images using joint geometric graph embedding is proposed. The proposed framework achieves matching of partial shapes in images that exhibit extreme variations in scale, orientation, viewpoint and illumination and also instances of occlusion; conditions which render impractical the use of global contour-based...
The application of correlation filters for the task of facial landmark detection has been studied by many vision works. Their success, however, is limited by the presence of large pose variations, expression and occlusion in face images. Moreover, existing correlation filters may suffer from poor discrimination to distinguish visually similar landmarks such as the right and left eyes. In this work,...
The problem of dense point set registration, given a sparse set of prior correspondences, often arises in computer vision tasks. Unlike in the rigid case, integrating prior knowledge into a registration algorithm is especially demanding in the non-rigid case due to the high variability of motion and deformation. In this paper we present the Extended Coherent Point Drift registration algorithm. It...
Facial fiducial detection is a challenging problem for several reasons like varying pose, appearance, expression, partial occlusion and others. In the past, several approaches like mixture of trees [32], regression based methods [8], exemplar based methods [7] have been proposed to tackle this challenge. In this paper, we propose an exemplar based approach to select the best solution from among outputs...
A modular robots is composed of many independent connected modules which are able to achieve common goals through communications. A modular self-reconfigurable robot can move and reorganize its modules to modify its shape. In this paper, we consider a modular self-reconfigurable robot made from cubic modules (blocks) that are able to slide along their faces. Sliding motions imply complex cooperations,...
A modular robots is composed of many independent connected modules which are able to achieve common goals through communications. A modular self-reconfigurable robot can move and reorganize its modules to modify its shape. In this paper, we consider a modular self-reconfigurable robot made from cubic modules (blocks) that are able to slide along their faces. Sliding motions imply complex cooperations,...
This paper deals with robustness analysis of disturbance observer (DO) based filtered PI (DO FPI) control for the first order plants based on performance portrait method. For loop robustification and noise attenuation the loop is augmented by n-th order filters used in the inner DO loop, as well as in the outer loop with the stabilizing P controller. It shows results derived by means of simple "ultra-local"...
Non-rigid point set registration is a fundamental problem for many computer vision technologies. In this paper, we proposed a new non-rigid point set registration method based on coherent spatial mapping (CSM) and local geometrical constraint. Our central idea is to express each point as a weighted sum of several nearest neighbors and the same relation holds after the transformation. The registration...
With the development of single-person analysis in computer vision, social group analysis has received growing attention as the next area of research. In particular, group detection has been actively studied as the first step of social analysis. Here, group means an F-formation, that is, a spatial organization of people gathered for conversation. Popular group detection methods are based on coincidences...
Mission profiles for semiconductor applications are getting more and more challenging regarding electrical and thermo-mechanical robustness of metallization stacks. Effects, especially in thick metals, were investigated over the last years to find solutions for an improvement regarding both potential stressors. Some elements of a metallization were designed, investigated and simulated [1, 2, 3, 4...
This paper presents a new robust path planning and execution methodology for constrained linear systems, using reachable sequences of sets denoted funnels. Constraint tightening is used to guarantee the existence of a combined feedforward and affine disturbance-feedback policy to guide the system trajectory from anywhere within a set of initial states to a target set, through a sequence of intermediate...
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