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A novel approach is presented to detect contour of object. Firstly, the zero-cross operator to imitate the visual receptive field is used to detect edge of image. Secondly, facing the large amount of noise in complex background, the neighborhood description operator is designed, and the neighborhood information of interesting point is analyzed as well. Then the contours of objects are acquired by...
In this paper we propose a novel computational method to infer visual saliency in images. The computational method is based on the idea that salient objects should have local characteristics that are different than the rest of the scene, being edges, color or shape, and that these characteristics can be combined to infer global information. The proposed approach is fast, does not require any learning...
Training object detectors aims at choosing specific visual attributes which are efficient and optimal for each learned object. This paper presents a new process which achieves this goal by putting all families of descriptors one wants to consider in a pool of descriptors and by letting the algorithm build a cascade with the most efficient descriptors by introducing management of very large features...
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...
In this paper we introduce a new kind of feature - the multi-local feature, so named as each one is a collection of local features, such as oriented edgels, in a very specific spatial arrangement. A multi-local feature has the ability to capture underlying constant shape properties of exemplars from an object class. Thus it is particularly suited to representing and detecting visual classes that lack...
The computer image object tracking technologies are often applied to various kinds of research fields. It proposes real-time tracking object recognition by contour-based neural fuzzy network. It employs the active contour models and neural fuzzy network method to trace moving objects of the same kind and to record its paths simultaneously. To extract objectpsilas feature vector, it uses contour-based...
Detection of saliency regions in images is useful for object based image understanding and object localization. In our work, we investigate a saliency region detection algorithm based on the human visual attention (HVA) model. In the first phase, we use mutual information and probability-of-boundary (PoB) for color saliency and edge detection respectively to filter SURF (speeded up robust features)...
A novel target pseudo-color image fusion algorithm for visual and infrared images is proposed in this paper based on image features in wavelet domain. After wavelet decomposed from source images, edge features are extracted from each low frequency component. The fusion rules are defined by the edge information, using local modulus maximum rule for edge pixels and its sub-band neighboring pixels, and...
Though the goal of ray tracing and other physically based rendering techniques is ultimately to produce photorealistic images, it is often helpful to use non-photorealistic rendering techniques to illustrate or highlight certain features in a rendering. We present a method for ray tracing constant screen-width NPR-style feature lines on top of regularly rendered scenes, demonstrating how a variant...
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