期刊文献+
共找到2篇文章
< 1 >
每页显示 20 50 100
FOTON Continues to hold its Championship as Global Largest Commercial Vehicle Manufacturer
1
《ChinAfrica》 2011年第7期53-53,共1页
Latest data from the China Association of Automobile Manufacturers(CAAM) shows that through 2010.China’s automobile sales surpassed 18 million, breaking the world record of annual auto sales previously held by the Un... Latest data from the China Association of Automobile Manufacturers(CAAM) shows that through 2010.China’s automobile sales surpassed 18 million, breaking the world record of annual auto sales previously held by the United States.Now that China has become a major global auto production player, how is Foton faring? CAAM statistics said production and sales volume of 展开更多
关键词 FOTON Continues to hold its Championship as Global Largest Commercial vehicle Manufacturer In
下载PDF
Size-self-adaptive recognition method of vehicle manufacturer logos based on feature extraction and SVM classifier
2
作者 Wenting LU Honggang ZHANG +1 位作者 Kunyan LAN Jun GUO 《Frontiers of Electrical and Electronic Engineering in China》 CSCD 2010年第1期77-84,共8页
Besides their decorative purposes,vehicle manufacturer logos can provide rich information for vehicle verification and classification in many applications such as security and information retrieval.However,unlike the ... Besides their decorative purposes,vehicle manufacturer logos can provide rich information for vehicle verification and classification in many applications such as security and information retrieval.However,unlike the license plate,which is designed for identification purposes,vehicle manufacturer logos are mainly designed for decorative purposes such that they might lack discriminative features themselves.Moreover,in practical applications,the vehicle manufacturer logos captured by a fixed camera vary in size.For these reasons,detection and recognition of vehicle manufacturer logos are very challenging but crucial problems to tackle.In this paper,based on preparatory works on logo localization and image segmentation,we propose a size-self-adaptive method to recognize vehicle manufacturer logos based on feature extraction and support vector machine(SVM)classifier.The experimental results demonstrate that the proposed method is more effective and robust in dealing with the recognition problem of vehicle logos in different sizes.Moreover,it has a good performance both in preciseness and speed. 展开更多
关键词 vehicle manufacturer logo recognition feature extraction support vector machine(SVM) size-selfadaptive
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部