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In this paper we present a method for the retrieval of images in terms of perceptual similarity. Local color information is added to the shape context descriptor in order to obtain an object description integrating both shape and color as visual cues. We use a color naming algorithm in order to represent the color information from a perceptual point of view. The proposed method has been tested in...
A novel mobile robot based gas source localization method in which the top-down visual attention mechanism (TDVAM) is combined with shape analysis is proposed. At each location, three different images which cover the scene in front of the robot are captured via changing the horizontal angle of an onboard pan/tilt camera. In each image, three salient regions are computed using TDVAM model, and maximal...
When the autonomous mobile robot moves, it depends on vision system to catch the targeted objects, so vision system is one of the key technologies for intelligent robot. In order to solve the problem of recognizing objects characterized by specified color and shape in the autonomous robot, a seed fill method based on HUV model is proposed and improved in this paper. First the hue histogram and brightness...
Existence of countless digital images has given rise to image retrieval in many applications. Conventional image databases being text-annotated pose two major problems of keywords for images and complexity. Hence, retrieval systems based on image's visual content are more desirable [1]. The content based image retrieval (CBIR) technique, employed here uses visual cues to retrieve images. This technique...
Online shopping is becoming more and more popular for a number of reasons; prices are often lower online, you don't have to queue up in busy shops and you can buy almost any product imaginable with just a few clicks of your mouse. But the general problems of shopping Web site is that, most of the existing online shops list products based on keywords. As the inherent limitation, keyword browsing makes...
Shape from Silhouette (SFS) are methods used to estimate the 3D shape of objects from their silhouettes. The reconstructed shape, also called Visual Hull (VH), is the maximum volume which yields the silhouettes. As this volume is an upper bound, it contains objects and artifacts. Ghost connected components coming from artifacts are parts empty of real object. They provide non-pertinent data that interfere...
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