Extraction of the basic feature points of handwriting data by auto translation error map

2009 ◽  
Author(s):  
Yusuke Manabe ◽  
Basabi Chakraborty ◽  
Kenji Sugawara
Keyword(s):  
Basic Feature ◽  
Feature Points ◽  
Translation Error

ОЦІННО-МОТИВАЦІЙНИЙ КОМПОНЕНТ РЕФЛЕКСИВНОЇ КОМПЕТЕНТНОСТІ ОСОБИСТОСТІ

1970 ◽  
Vol 6 (1) ◽  
pp. 202-214
Author(s):  
Олена Савченко
Keyword(s):  
Internal Structure ◽  
Cognitive Complexity ◽  
Basic Feature ◽  
The Self ◽  
Reflective Activity ◽  
Conflict Situations ◽  
Life Tasks ◽  
Self Development ◽  
The Subject ◽  
Favorable Conditions

У статті розглядається рефлексивна компетентність як інтегративне особистісне утворення, що формується в ході набуття суб’єктом рефлексивного досвіду при застосуванні різних форм рефлексивної активності, спрямованих на розв’язання визначених рефлексивних задач. У структурі рефлексивної компетентності оцінно-мотиваційний компонент виконує наступні функції: оцінку форм рефлексивної активності та її результатів, прогнозування можливих змін у процесі розв’язування проблемно-конфліктних ситуацій, визначення пріоритетних завдань подальшого розвитку себе як суб’єкта рефлексивної активності. На когнітивному рівні функціонує система критеріїв оцінювання власних форм рефлексивної активності, яка характеризується ступенем когнітивної складності, що відображає рівень диференціації та інтеграції системи. Функціонування оцінно-мотиваційного компонента на метакогнітивному рівні забезпечує система здібностей до прогнозування власної активності. Особистісний рівень представлений системою життєвих задач на саморозвиток, які стимулюють суб’єкта докладати зусилля щодо розвитку в себе певних якостей, формування певних вмінь та знань. Розрізненість елементів компонента є індикатором незавершеності процесу формування його внутрішньої структури, низький рівень інтеграції окремих складових не дозволяє системі ефективно компенсувати недорозвинені елементи. Найбільшу вагу у внутрішній структурі оцінно-мотиваційного компонента має показник сформованості системи здібностей до прогнозування власної активності, що підтверджує системотвірну функцію структур метакогнітивного рівня. In the article the reflective competence is seen as an integrative personal formation which develops in the process of acquiring of the reflective experience, when the subject is using various forms of the reflective activity for the solving of specific reflective tasks. In the structure of the reflective competence the value-motivational component performs such functions: an evaluation of forms of the reflective activity and its results, a prediction of the possible changes in the process of solving of the problem-conflict situations, a determining of the priorities for further development of himself as a subject of the reflective activity. The system of the criteria of an evaluating of the reflective activity`s forms functions on the cognitive level of the reflective competence. The level of the cognitive complexity is the basic feature of this system. The predictive abilities` system, that allows to form the expectations of the activity`s results, presents the value-motivational component on the metacognitive level. The system of the life tasks for the self-development, which stimulates the subject to make efforts to develop his own qualities, to form specific skills and knowledge, functions on the personal level. The fragmentation of the elements is an indicator of the incompleteness of the formation of the internal structure of the value-motivational component. The low level of integration of the separate elements does not allow effectively to compensate the functioning of the unformed elements of the system. The index of the formation of the abilities to predict his own activity has the greatest meaning in the internal structure of the value-motivational component. These data confirm the hypothesis about the system-forming function of the metacognitive structures that unite other structures. Thus the development of the predictive abilities will promote the increase of the abilities to the prediction of the others` behavior. An adequate assessment of other people significantly reduces the inconsistency of his own expectations and estimations of others. The development of the predictive abilities creates favorable conditions for the formation of the life tasks for the self-development to increase their value in the system of other tasks

Registration and Fusion of UAV LiDAR System Sequence Images and Laser Point Clouds

2020 ◽  
Author(s):  
Jiayong Yu ◽  
Longchen Ma ◽  
Maoyi Tian, ◽  
Xiushan Lu
Keyword(s):  
Point Cloud ◽  
Image Data ◽  
Point Clouds ◽  
Optical Image ◽  
Point Cloud Data ◽  
Feature Points ◽  
Lidar System ◽  
Registration Accuracy ◽  
Cloud Data ◽  
Intensity Image

The unmanned aerial vehicle (UAV)-mounted mobile LiDAR system (ULS) is widely used for geomatics owing to its efficient data acquisition and convenient operation. However, due to limited carrying capacity of a UAV, sensors integrated in the ULS should be small and lightweight, which results in decrease in the density of the collected scanning points. This affects registration between image data and point cloud data. To address this issue, the authors propose a method for registering and fusing ULS sequence images and laser point clouds, wherein they convert the problem of registering point cloud data and image data into a problem of matching feature points between the two images. First, a point cloud is selected to produce an intensity image. Subsequently, the corresponding feature points of the intensity image and the optical image are matched, and exterior orientation parameters are solved using a collinear equation based on image position and orientation. Finally, the sequence images are fused with the laser point cloud, based on the Global Navigation Satellite System (GNSS) time index of the optical image, to generate a true color point cloud. The experimental results show the higher registration accuracy and fusion speed of the proposed method, thereby demonstrating its accuracy and effectiveness.

FACE RECOGNITION USING FUZZY INFERENCE SYSTEM

2009 ◽  
Vol 8 (3) ◽  
pp. 887-897
Author(s):  
Vishal Paika ◽  
Er. Pankaj Bhambri
Keyword(s):  
Neural Networks ◽  
Fuzzy Inference ◽  
Facial Features ◽  
Facial Appearance ◽  
Feature Points ◽  
Inference System ◽  
Detection Techniques ◽  
The Face ◽  
Hair Style ◽  
Facial Images

The face is the feature which distinguishes a person. Facial appearance is vital for human recognition. It has certain features like forehead, skin, eyes, ears, nose, cheeks, mouth, lip, teeth etc which helps us, humans, to recognize a particular face from millions of faces even after a large span of time and despite large changes in their appearance due to ageing, expression, viewing conditions and distractions such as disfigurement of face, scars, beard or hair style. A face is not merely a set of facial features but is rather but is rather something meaningful in its form.In this paper, depending on the various facial features, a system is designed to recognize them. To reveal the outline of the face, eyes, ears, nose, teeth etc different edge detection techniques have been used. These features are extracted in the term of distance between important feature points. The feature set obtained is then normalized and are feed to artificial neural networks so as to train them for reorganization of facial images.

Metaphor from the Derivational Perspective

Fachsprache ◽  
2019 ◽  
Vol 41 (S1) ◽  
pp. 4-22
Author(s):  
Larisa M. Alekseeva ◽  
Svetlana L. Mishlanova
Keyword(s):  
Network Model ◽  
Cognitive Process ◽  
Linear Models ◽  
Basic Feature ◽  
New Knowledge ◽  
Complicated Process ◽  
Traditional Approaches ◽  
Text Formation ◽  
Cognition And Knowledge ◽  
Knowledge Communication

Abstract The article focuses on the derivational perspective of metaphor studies. Derivation is regarded as a complex cognitive process, represented within speech activities. In this sense, derivation is viewed as a universal process of language units’ production according to the rules of text-formation. The basic feature of the derivational approach to the mechanism of metaphor is determined by the inner syntax, especially by the principle of contamination of two sentences – introductive and basic, which fulfill different functions. In this paper we shall present a theoretical account of metaphorisation as a universal derivational process controlled by means of such laws, as incorporation, contamination and compression. We take as basic the premise that metaphor is a more complicated process than it is described in traditional theories, since it is dependent on cognition and knowledge communication. In contrast to the traditional approaches, metaphor is regarded here as the result of combination of two pictures of the reality, referential and imaginative. We believe that derivatology generates a new knowledge about metaphor mechanism and metaphor modeling. Comparing to linear models of metaphor, the derivational model is considered to be a network model. The latest derivatological ideas about metaphor enrich the concept of metaphor taking into consideration that it has to be studied not in isolation, but within a broad frame of text, discourse, cognition and communication.

scholarly journals Passive Measurement of Three Optical Beacon Coordinates Using a Simultaneous Method

Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5235
Author(s):  
Jiri Nemecek ◽  
Martin Polasek
Keyword(s):  
Mathematical Model ◽  
Relative Position ◽  
Experimental Tests ◽  
Image Sensor ◽  
Geometric Parameters ◽  
Light Sources ◽  
Feature Points ◽  
Passive Measurement ◽  
The Mathematical Model ◽  
Physical Principles

Among other things, passive methods based on the processing of images of feature points or beacons captured by an image sensor are used to measure the relative position of objects. At least two cameras usually have to be used to obtain the required information, or the cameras are combined with other sensors working on different physical principles. This paper describes the principle of passively measuring three position coordinates of an optical beacon using a simultaneous method and presents the results of corresponding experimental tests. The beacon is represented by an artificial geometric structure, consisting of several semiconductor light sources. The sources are suitably arranged to allow, all from one camera, passive measurement of the distance, two position angles, the azimuth, and the beacon elevation. The mathematical model of this method consists of working equations containing measured coordinates, geometric parameters of the beacon, and geometric parameters of the beacon image captured by the camera. All the results of these experimental tests are presented.

scholarly journals Pose Measurement for Unmanned Aerial Vehicle Based on Rigid Skeleton

2021 ◽  
Vol 11 (4) ◽  
pp. 1373
Author(s):  
Jingyu Zhang ◽  
Zhen Liu ◽  
Guangjun Zhang
Keyword(s):  
Measurement Errors ◽  
Structural Characteristics ◽  
Geometric Model ◽  
Formation Flight ◽  
Depth Information ◽  
Feature Points ◽  
Feature Point Extraction ◽  
Aerial Vehicle ◽  
Uav Navigation ◽  
Rigid Skeleton

Pose measurement is a necessary technology for UAV navigation. Accurate pose measurement is the most important guarantee for a UAV stable flight. UAV pose measurement methods mostly use image matching with aircraft models or 2D points corresponding with 3D points. These methods will lead to pose measurement errors due to inaccurate contour and key feature point extraction. In order to solve these problems, a pose measurement method based on the structural characteristics of aircraft rigid skeleton is proposed in this paper. The depth information is introduced to guide and label the 2D feature points to eliminate the feature mismatch and segment the region. The space points obtained from the marked feature points fit the space linear equation of the rigid skeleton, and the UAV attitude is calculated by combining with the geometric model. This method does not need cooperative identification of the aircraft model, and can stably measure the position and attitude of short-range UAV in various environments. The effectiveness and reliability of the proposed method are verified by experiments on a visual simulation platform. The method proposed can prevent aircraft collision and ensure the safety of UAV navigation in autonomous refueling or formation flight.

Latent Fingerprint Identification System Based on a Local Combination of Minutiae Feature Points

2021 ◽  
Vol 2 (3) ◽  
Author(s):  
Uttam U. Deshpande ◽  
V. S. Malemath ◽  
Shivanand M. Patil ◽  
Sushma. V. Chaugule
Keyword(s):  
Fingerprint Identification ◽  
Identification System ◽  
Feature Points ◽  
Latent Fingerprint

scholarly journals FSD-BRIEF: A Distorted BRIEF Descriptor for Fisheye Image Based on Spherical Perspective Model

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1839
Author(s):  
Yutong Zhang ◽  
Jianmei Song ◽  
Yan Ding ◽  
Yating Yuan ◽  
Hua-Liang Wei
Keyword(s):  
Feature Matching ◽  
Field Of View ◽  
Image Feature ◽  
Feature Points ◽  
Matching Process ◽  
Feature Descriptors ◽  
Coordinate Mapping ◽  
Matching Performance ◽  
Perspective Model ◽  
Attitude Matrix

Fisheye images with a far larger Field of View (FOV) have severe radial distortion, with the result that the associated image feature matching process cannot achieve the best performance if the traditional feature descriptors are used. To address this challenge, this paper reports a novel distorted Binary Robust Independent Elementary Feature (BRIEF) descriptor for fisheye images based on a spherical perspective model. Firstly, the 3D gray centroid of feature points is designed, and the position and direction of the feature points on the spherical image are described by a constructed feature point attitude matrix. Then, based on the attitude matrix of feature points, the coordinate mapping relationship between the BRIEF descriptor template and the fisheye image is established to realize the computation associated with the distorted BRIEF descriptor. Four experiments are provided to test and verify the invariance and matching performance of the proposed descriptor for a fisheye image. The experimental results show that the proposed descriptor works well for distortion invariance and can significantly improve the matching performance in fisheye images.

Sign in / Sign up

Export Citation Format

Share Document