The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper introduces an anti-aliasing algorithm based on saliency map for virtual reality applications. In order to do it, we first render the whole scene into a single texture image and feed it into saliency map construction. The result saliency map is then input to the second rendering step with the original texture image. The second rendering step performs the anti-aliasing algorithm selectively...
In this paper, a new method of saliency-based traffic sign detection is presented. On the basis of the visual attention mechanism model, edge and color information are extracted as early visual features, and each feature is computed and normalized to obtain feature maps, conspicuity maps and the saliency map. Then the candidate regions containing traffic signs are determined with self-organizing map...
To deal with the problem of lack of subjective visual perception in texture features exacting of digital camouflage, a new extraction arithmetic based on human visual perception and isoperimetric theory is proposed in this paper. The method firstly constructs edge weight function according to human visual perception, then selects isoperimetric ratio as a as a criterion to determine the optimal threshold...
In view of the assembly process characteristic of non-silicon flat micro parts in MEMS devices, a micro assembly control system is developed based on an established experimental platform. According to the characteristics of the micro parts, micro parts recognition and positioning method is studied, and a new matching algorithm based on shape template is proposed, then an identification module has...
In this paper, we address the problem of matching the shoes from the daily life photos to exactly the same shoes from online shops. The problem is extremely challenging because of the significant visual differences between street domain images (shoe images captured in the daily life scenario) and online domain photos (images from online shops taken in the controlled environment). This paper presents...
The conventional blind guidance systems have some problems such as massive mapping data, low mapping efficiency and simple sound coding. These make the blind difficult to use the system. To solve these problems, a system is presented based on ICA edge detection and MIDI music display. In this system image edges that accord with visual characteristics are mapped into MIDI music by ICA edge basis functions'...
Graph ranking is a promising technique for image retrieval, but its effectiveness is limited by the so-called semantic gap. To mitigate this gap, clickthroughs, which are helpful to perceive the visual content of images, are adopted by graph ranking models recently. However, few existing models take both sparseness and noisiness of clickthroughs into account, which are important in refining the clickthrough-based...
This paper presents a systematic approach for the 3-D mapping of underwater caves. Exploration of underwater caves is very important for furthering our understanding of hydrogeology, managing efficiently water resources, and advancing our knowledge in marine archaeology. Underwater cave exploration by human divers however, is a tedious, labor intensive, extremely dangerous operation, and requires...
Planetary rovers face mobility hazards associated with various classes of terrains they traverse: sand, bedrock, and rock-strewn terrain. This work develops visual classifiers for these 3 terrain types for single monochrome navigation images from the NASA Mars Exploration Rover missions. The classifiers are based primarily on visual texture, captured in histograms of edges filter responses at various...
The nature endows animals robust vision systems for extracting and recognizing different motion cues, detecting predators, chasing preys/mates in dynamic and cluttered environments. Direction selective neurons (DSNs), with preference to certain orientation visual stimulus, have been found in both vertebrates and invertebrates for decades. In this paper, with respect to recent biological research progress...
We consider the problem of computing shortest paths in a dense motion-planning roadmap G. We assume that n, the number of vertices of G, is very large. Thus, using any path-planning algorithm that directly searches G, running in O(VlogV + E) ≈ O(n2) time, becomes unacceptably expensive. We are therefore interested in anytime search to obtain successively shorter feasible paths and converge to the...
The ever-shrinking world of semiconductors has always challenged the interplay of tool capability, process integration, and characterization. The fine line between structural or electrical success and failure has steadily been redefined from microns to nanometers with leading edge technology using terms with the likes of angstroms and layers of atoms. Failure modes at these nodes become increasing...
Horizon or skyline detection plays a vital role towards mountainous visual geo-localization, however most of the recently proposed visual geo-localization approaches rely on user-in-the-loop skyline detection methods. Detecting such a segmenting boundary fully autonomously would definitely be a step forward for these localization approaches. This paper provides a quantitative comparison of four such...
One of the main problem of the optical imaging systems is limited depth of field which prevent from obtaining an all-in-focus image of the environment. This paper proposes a novel pixel-based multi-focus image fusion method making use of a series of multi-focus images to obtain an all-in-focus image. The proposed method, firstly, generate a focus map over the edges. Then, a full focus map is obtained...
Tone mapping is a technology to display a high-dynamic-range(HDR) image on a low-dynamic-range device by compressing the dynamic range. In this paper, we propose a method to preserve fine details and overall color tone by image multi-layer decomposition and reconstruction. The HDR image is first decomposed into multi-scale detail layers with the weighted least square(WLS)filter based on extremes....
Inappropriate medication use such as wrong drug or wrong dose intake can be harmful to patients. In this work we present a method to automatically identify a pill from a single image using Convolutional Neural Network (CNN). We first localize the pill in the image by detecting the region with the highest concentration of edges. To overcome the challenge of minimal labeled training data and domain...
Early and more sensitive detection of small aneurysms in 3D cerebral angiograms is required to prevent potentially fatal rupture events. Herein, we propose a novel method that entails structure enhancement filtering to highlight potential aneurysm locations, intra-vascular distance mapping for regional vascular shape encoding and dimensionality reduction and a convolutional neural network to automatically...
At the single-cell level in the visual system, the properties of the receptive field (RF) are important bases of visual information processing. The area surrounding classical receptive field (CRF) is called the non-classical receptive field (nCRF), the modulatory effects of which are regarded as an important basis of visual information processing including contour detection. The modulation type (facilitation...
Interpolation tool plays a vital role in estimating missing values. This classical problem aims to preserve the structural information-edges and textures, in the resultant image. In this process of developing a continuous function, distractions such as blur, noise or other artifacts should not be entertained. This paper provides an overview of commonly used interpolation algorithms. Comparative discussions...
Image cropping is a fundamental task in image editing to enhance the aesthetic quality of images. In this paper, we propose an automatic image cropping technique based on aesthetic map and gradient energy map. Instead of utilizing aesthetic rules in previous methods, we learn the aesthetic map by a deep convolutional neural network with a large-scale dataset for aesthetic quality assessment. The aesthetic...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.