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Computing matching cost by Convolutional neural networks(CNNs) work well in fetching accurate dense disparity maps. But these methods still have problems: (1) they always employ equal weights for left and right images in convolutional layers, losing relational information of patches; (2) they don't solve the balance between patches' size and processing efficiency, the larger size the more information...
Visual texture fidelity evaluation is important but still unsolved problem. Evaluation of how well various texture models conform with human visual perception of their original measured pattern is required not only for assessing the visual dissimilarities between a model output and the original measured texture, but also for optimal settings of model parameters, for fair comparison of distinct models,...
As a new type of computer input device, touch screen provides a simple and natural human-computer interaction. But because the area of finger tapping the screen is larger, the touch screen is more likely lead to faulty operation than mouse. To solve this problem, this study selects the touch screen interface structures as the study object, combines with the application types, and explores the reasonable...
Retinopathy of prematurity (ROP) is a disease affecting low birth-weight infants and is the major cause of childhood blindness. Although accurate diagnosis is important, there is a high variability among expert decisions mostly due to subjective thresholds. Existing work focused on automated diagnosis of ROP. In this study, we construct a continuous severity index as an alternative to discrete classification...
The goal of this paper is to analyze the human stability during static postures using stabilometric signals. The effects of subject's visual input, feet position, age and gender are analyzed. Twenty eight healthy subjects have participated in this study. The center of pressure displacements were measured along the Medio-Lateral (ML) and Antero-Posterior (AP) directions. Empirical mode decomposition...
■ All memory continues to scale, increasingly difficult and complex ■ New DRAM architectures in work across all major application areas ■ Numerous very high bandwidth options with GDDR5X as highest BW/$ ■ HMC delivers unique advantages for ultra-high bandwidth applications ■ Emergence of Persistent Memory, first as DRAM+NAND NVDIMM - Evolving, enabling new and better products ■ 2016 production of...
Most of the current image retrieval systems for large scale database rely on the Bag-of-Words (BoW) representation and inverted index. We analyze these systems and find that the retrieval performance is largely determined by the discriminative ability of their inverted indexes. This motivates us to combine SIFT and local color features into a two-dimensional inverted index (TD-II). Each dimension...
Loop closure detection is very important in visual simultaneous and localization and mapping system (SLAM), which can reduce the accumulated drift. The most successful methods are based on Bag-of-Words model and need a large visual word dictionary. Recently, the VLAD, the state-of-the art compact descriptor, has achieved a great success in large scale image retrieval. In this paper, a novel vlad-based...
Providing appropriate tool-supported guidance to students is an essential aspect of technology-supported inquiry-based STEM education, in order to facilitate them in engaging in diverse inquiry tasks. However, analyzing educational designs and evaluating the level of tool-supported guidance provided towards reflective remedying actions is not a trivial task, especially for novice STEM teachers. In...
Blind people are able to access visual information if the information is expressed by tactile graphics; however, it is almost impossible that blind people express their ideas or opinions by visual information such as diagrams, if they do not have any help from sighted people. So, in this paper, we discuss the experiences of blind people using four user interfaces for independent editing of tactile...
A potential application of LiDAR data in street-level greenery assessment has been explored in this study. Taking full advantage of the fine-scale tree structure modeling of LiDAR data, we propose a new green view index calculation method to assess street greenery visualization. Results indicate that LiDAR data is capable of differentiating the amount of greenness being perceived from different sites...
The red palm weevil (RPW) is a dangerous invasive insect species that is causing severe damage to date palm trees around the world. This study focuses for the first time on the detection and discrimination among different stages of RPW stress-attacks using bio-physiological spectral indices and statistical analysis of satellite image data. A total of 27 different indices were assessed using new technology...
The data mining systems solve the problem of handling Earth Observation archives counting on a feature vectors based description of the data. Increasing the dimensionality of the feature vectors would offer an effective perspective of the dataset's content. The modern systems provide visual exploration of data projecting their high-dimensional feature space in a 3-D space. The dimensionality reduction...
We propose a promising method of geometric verification to improve the precision of Bag-of-Words (BoW) model in image retrieval. Most previous methods focus on the positions of interest points or the absolute differences of regions' scales and angles. In contrast, our method, named Region Similarity Arrangement (RSA), exploits the spatial arrangement of interest regions. For each image, RSA constructs...
In this paper, we present a soundtrack generation system that can automatically add a soundtrack with the length and climax points aligned to those of a video clip. Adding a soundtrack to a video clip is an important process in video editing. Editors tend to add chorus sections to the climax points of the video clip by replacing and concatenating musical segments. However, this process is time-consuming...
The theory of structure similarity (SSIM) is a new idea to evaluate the image quality by simulating the function of the human visual characteristics. Because the structure similarity model derived from this theory is very simple, it is widely used. However, the SSIM model only considered that human vision system can only extract the structure information of the image. This model is too limited. So...
The paper seeks to improve the quality of electric power service in Asunción and the metropolitan area through an analysis of reliability indexes. It is proposed a plan for visual inspections of airborne medium voltage power lines (23 kV), based on the performance of Metropolitan Distribution System of Administración Nacional de Electricidad (ANDE). It has been conducted a field research within the...
A bio-inspired image fusion algorithm in nonsubsampled contourlet transform (NSCT) domain is proposed. Two biological vision models, the visual attention mechanism (VAM) and pulse coupled neural network (PCNN), which extract image features under different scales, are employed. VAM based saliency matching degree is used in NSCT low-pass subbands fusion. This ensures the fusion results integrate the...
Manifold distances are very effective tools for visual object recognition. However, most of the traditional manifold distances between images are based on the pixel-level comparison and thus easily affected by image rotations and translations. In this paper, we propose a new manifold distance to model the dissimilarities between visual objects based on the Complex Wavelet Structural Similarity (CW-SSIM)...
For security of digital images, an emerging technique is the use of mosaics of an image to construct an entirely different image. This is done by modifying the colour properties of a secret image in accordance with some reference image, i.e., transferring colour between mosaics of images. These mosaics are placed together to give an image that is similar to the reference image. This method is significant...
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