Add to ORKGBy describing spatial relationships between feature points, we present promising logo recognition and localization, which are verified based on two state-of-the-art datasets. Given features points on the query logo, similar features on test images are efficiently found by locality sensitive hashing. After filtering out outliers, candidate regions are found by the mean-sift algorithm, and each region is compared with the logo by jointly considering visual word histogram and visual patterns. Evaluation results show that visual patterns more appropriately describe logos and provide better performance than previous approaches. Index Terms — Logo recognition, logo localization
Due to its uniqueness and high value in commercial side, logos and trademarks play a key role in e-b...
Logo detection is a technology that identifies logos in images and returns their locations. With log...
Real-world logo recognition is challenging mainly due to various viewpoints and different lighting c...
In this paper, we propose a novel logo localization and recognition model in which we use the spatia...
Abstract. In this paper, we propose a novel logo localization and recognition model in which we use ...
Abstract. We propose a method for localizing and recognizing brand logos in natural images. The task...
In current trends the logos are playing a vital role in industrial and all commercial applications. ...
This paper presents a system for the detection and localization of multiple instances of trademark l...
In this paper we develop an algorithm for logo detection and grouping in images. For logo detection,...
We present a scalable logo recognition technique based on feature bundling. Individual local feature...
The amount of digital data transmitting via interne t has reached an enormous level. In order to co...
This paper presents a probabilistic approach for logo detection and localization in natural scene im...
The amount of digital data transmitting via interne\ud t has reached an enormous level. In order to ...
In this paper we present a method for organizing and index-ing logo digital libraries like the ones ...
Logo localization and recognition is difficult in natural images due to perspective deformations, va...
Due to its uniqueness and high value in commercial side, logos and trademarks play a key role in e-b...
Logo detection is a technology that identifies logos in images and returns their locations. With log...
Real-world logo recognition is challenging mainly due to various viewpoints and different lighting c...
In this paper, we propose a novel logo localization and recognition model in which we use the spatia...
Abstract. In this paper, we propose a novel logo localization and recognition model in which we use ...
Abstract. We propose a method for localizing and recognizing brand logos in natural images. The task...
In current trends the logos are playing a vital role in industrial and all commercial applications. ...
This paper presents a system for the detection and localization of multiple instances of trademark l...
In this paper we develop an algorithm for logo detection and grouping in images. For logo detection,...
We present a scalable logo recognition technique based on feature bundling. Individual local feature...
The amount of digital data transmitting via interne t has reached an enormous level. In order to co...
This paper presents a probabilistic approach for logo detection and localization in natural scene im...
The amount of digital data transmitting via interne\ud t has reached an enormous level. In order to ...
In this paper we present a method for organizing and index-ing logo digital libraries like the ones ...
Logo localization and recognition is difficult in natural images due to perspective deformations, va...
Due to its uniqueness and high value in commercial side, logos and trademarks play a key role in e-b...
Logo detection is a technology that identifies logos in images and returns their locations. With log...
Real-world logo recognition is challenging mainly due to various viewpoints and different lighting c...