Illumination identification by using image colour data and robot's location and orientation data

Michael S. Zehmeister; Yang Sok Kim; Byeong Ho Kang

首页> 外文期刊>International journal of ad hoc and ubiquitous computing >Illumination identification by using image colour data and robot's location and orientation data

【24h】

Illumination identification by using image colour data and robot's location and orientation data

机译：通过使用图像颜色数据和机器人的位置和方向数据进行照明识别

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

Lighting changes render colour calibrations inaccurate and effectively blind systems that rely on identifying objects by color. This study investigates the relationships in the colour data of image pixels between lighting conditions in an effort to identify trends that can be used as the basis of a rule-based system. The aim of the system is to identify the current lighting level as one of a set of known conditions. The proposed system uses both the colour data of image pixels and location and orientation information of Artificial Intelligence roBOt (AIBO, homonymous with 'partner' in Japanese) to identify lighting levels, allowing a vision system to switch to an appropriate pre-configured calibration. While the direct area application is on AIBO in the RoboCup domain, the work is applicable in any area that uses color-vision in a situation in which lighting changes occur.

机译：照明更改导致颜色校准不准确，并且导致依赖于颜色识别对象的有效盲系统。这项研究调查了照明条件之间图像像素的颜色数据中的关系，以便确定可以用作基于规则的系统基础的趋势。该系统的目的是将当前照明水平识别为一组已知条件中的一个。拟议的系统同时使用图像像素的颜色数据和人工智能机器人（AIBO，日语中与“ partner”同义）的位置和方向信息来识别照明水平，从而使视觉系统能够切换到适当的预先配置的校准。当直接区域应用程序在RoboCup域中的AIBO上时，该工作适用于在发生照明变化的情况下使用色觉的任何区域。

著录项

来源
《International journal of ad hoc and ubiquitous computing》 |2009年第1期|13-23|共11页
作者
Michael S. Zehmeister; Yang Sok Kim; Byeong Ho Kang;
展开▼
作者单位

School of Computing and Information Systems, University of Tasmania, Sandy Bay, TAS, 7001, Australia;

School of Computing and Information Systems, University of Tasmania, Sandy Bay, TAS, 7001, Australia;

School of Computing and Information Systems, University of Tasmania, Sandy Bay, TAS, 7001, Australia;

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类
关键词
illumination identification; colour calibrations; AIBO; artificial intelligence roBOt; RoboCup;

机译：照度识别;颜色校准;爱宝人工智能机器人机器人杯;

相似文献

外文文献
中文文献
专利

1. Location Identification of the Individual based on Image Metadata [J] . P. Ramesh Kumar, Ch. Srikanth, K.L. Sailaja Procedia Computer Science . 2016,第1期

机译：基于图像元数据的个人位置识别
2. Building Segment-Based Maps Without Pose Information - Mobile robots can construct maps of their surroundings using laser range scanners that detect walls and vertical objects; no data on robot position and orientation is needed [J] . FRANCESCO AMIGONI, SIMONE GASPARINI, MARIA GINI Proceedings of the IEEE . 2006,第7期

机译：在没有姿势信息的情况下构建基于分段的地图-移动机器人可以使用检测墙壁和垂直物体的激光测距仪构建周围环境的地图；不需要有关机器人位置和方向的数据
3. Important Location Identification and Personal Location Inference Based on Mobile Subscriber Location Data Preparation of Camera-Ready Contributions to SCITEPRESS Proceedings [J] . Zhen Yang, Wang Hong-jun MATEC Web of Conferences . 2018,第3期

机译：基于移动订户位置数据的重要位置识别和个人位置推断相机准备对SCITEPRESS程序的贡献的准备
4. Fusing image data with location and orientation sensor data streams for consumer video applications [C] . Gat Yoram, Kozintsev Igor, Nestares Oscar 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops . 2010

机译：将图像数据与位置和方向传感器数据流融合，以用于消费类视频应用
5. Efficient indexing and retrieval of colour image data using a vector -based approach. [D] . Androutsos, Dimitrios. 1999

机译：使用基于矢量的方法对彩色图像数据进行高效索引和检索。
6. Dataset of annotated food crops and weed images for robotic computer vision control [O] . Kaspars Sudars, Janis Jasko, Ivars Namatevs, 2020

机译：用于机器人电脑视觉控制的注释食品作物和杂草图像的数据集
7. ABSTRACT Various body parts or organs can be analysed to identify the different diseases in the human body. Fingernail analysis is one of the ways to identify disease in the human body. Nails are the body part which are farthest from the heart and therefore receive oxygen at last. As a result the nails are the first who show the symptoms of a disease in the human body. Fingernails can be easily captured for diagnosis and there are no heavy equipment or no specific conditions required to use nail image for disease diagnosis, like in other tests and scanning processes. Human nails deliver beneficial information about complaints or any nutritive imbalances in the human body depending upon their shape, texture and colour. In human beings, numerous systemic and skin diseases can be easily analyzed through careful examination of nails of both the limbs. A lot of nail illnesses have been found to be primary signs of numerous underlying systemic illnesses. The colour, texture or shape changes in nails are signs of many diseases mainly affecting nails. Considering all these properties of nails a system is proposed that uses digital image processing (DIP) methods for identifying such changes in the human nail to get more precise results and predict numerous diseases effortlessly. With the emerging Internet of Things (IOT) concept the generated report is made available remotely, this will help users to reduce transportation efforts. As the system has to deal with large and private data, the security of data must be ensured. To keep the data confidential, the Blockchain concept which is one of the most emerging concepts in the field of data management is used. The paper contains the implementation of the digital image processing for feature extraction of nail images, usage of IOT (ThingSpeak cloud) for data storage and implementation of Blockchain to keep the system secured and theft free. KEY WORDS: Int ernet of thin gs (IOT), Image proc essin g, Thin gSpeak, RG B vavalues, Mean pi xel vavalues, Bloc kchain , Hash key. Disease Diagnostic System: Abnormalities in Human Nail [O] . Pranav S. Wazarkar 2020

机译：摘要的各个身体部位或器官可被分析以识别在人体内的不同的疾病。指甲分析来识别人体疾病的方法之一。指甲是身体一部分是离心脏最远，因此在最后接受氧气。作为结果，指甲是第一谁表现出人体疾病的症状。指甲可以容易地捕获用于诊断和没有重装或需要使用指甲图像用于疾病诊断，比如在其他测试和扫描过程没有特定的条件。人的指甲提供有关投诉或取决于它们的形状，纹理和色彩在人体内的任何营养失衡有益的信息。在人类中，许多全身性皮肤疾病是可以很容易地通过两个四肢指甲的仔细检查分析。很多指甲病已发现众多潜在系统性疾病的主要症状。在指甲的颜色，质地和形状的变化是许多疾病主要影响指甲的迹象。考虑到所有的指甲的这些性能的系统被提出，用于识别人指甲这样的变化以获得更精确的结果，并毫不费力预测许多疾病用途的数字图像处理（DIP）方法。随着物联网（IOT）的概念，新兴的互联网将生成的报告提供远程，这将帮助用户降低运输工作。由于系统必须处理大量的私人数据，数据的安全性必须得到保证。为了保持数据的机密性，使用Blockchain的概念，它是在数据管理领域的大多数新兴的概念之一。本文包含了数字图像处理的指甲图像，IOT（ThingSpeak云）的使用为数据存储和执行Blockchain的特征提取的执行，以保持固定的系统和盗窃免费。关键词：诠释薄GS（IOT），图像的ERNET PROC essin克，薄型gSpeak，RG乙vavalues，平均数PI XEL vavalues，阵营kchain，哈希密钥。疾病诊断系统：在人类指甲异常

Illumination identification by using image colour data and robot's location and orientation data

摘要

著录项

相似文献

相关主题

期刊订阅