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In the paper, comparative studies of three projection systems was carried out, i.e., With a cylindrical screen, with rear projection on foil placed on car windows -- "on screen", and with a collimation system. The purpose of the study was to assess the performance characteristics of visualization systems and the susceptibility of trainees to symptoms of simulator sickness. The results indicated...
Centuriation was a regular method for land parcel definition used by the ancient Romans, whose vestiges are still visible today in some places. Detecting such vestiges is relevant to landscape archaeology studies. In this paper we propose a new method for extensive automated inspection of heritage aerial photos in order to detect clues of centuriation.
By building an alarm chart platform and the visualization matching model, the design frame of warning chart visualization system in low altitude airspace was explored. Aimed at the types of low altitude flight area and mission requirements, the suitable high resolution remote sensing datum were selected as the data source to establish multi-source remote sensing data collection system. After the extraction...
Depth images play an important role and are popularly used in many computer vision tasks recently. However, the limited resolution of the depth image has been hindering its further applications. To address this problem, we propose a novel dual sparsity model based single depth image super resolution algorithm, with a single low-resolution depth image as input. We formulate this problem by combining...
In this work, we present a visual and interactive performance of particles conducted by the Leap Motion, for an orchestral arrangement. A visual and gestural feedback in real-time is generated for the conductor and the audience, through the display of a set of particle emitters and the path travelled by the captured gesture. The system we have developed aims to facilitate the understanding of musical...
Modern high-throughput bioimaging techniques pose the unprecedented challenge of exploring and analyzing the produced Terabyte-scale volumetric images directly in their 3D space. Without expensive virtual reality devices and/or parallel computing infrastructures, this becomes even more demanding and calls for new, more scalable tools that help exploring these very large 3D data also on common laptops...
In this paper, we propose a novel autoregressive (AR) model based on the adaptive window and the patch-geodesic distance for the image interpolation. The model combines the information of inner/inter-patch correlation. To model the inner-patch correlation, we introduce a patch-geodesic distance similarity metric. The proposed metric shows the desirable capacity to depict the piecewise-stationarity...
As the demand for stereo 3D content increases in the various fields, many types of devices for displaying stereo contents have been developed such as TVs, laptops, and mobile devices. Thus, efficient rendering methods that can process massive stereo data on those devices are becoming more important as well as reducing a feeling of visual discomfort of the viewer. In this paper, we analyze binocular...
It is a challenging work to reproduce the high resolution image from the low resolution input while preserving edge structures without causing visual artifacts such as blurring, ringing and jagging. In this paper, we propose an edge guided interpolation method exploiting a data fusion strategy, which interpolates a missing pixel by a weighted sum of directional data estimates for two orthogonal directions...
Interpolation is a technique for obtaining new unknown data points within the range of discrete known data points and is often used to recover an image from its downsampled version, or to simply perform image expansion. Recently a lot of interpolation algorithms are proposed, but these interpolation algorithms are highly computationally expensive. Hence these algorithms cannot be implemented and used...
The Bag-of-Visual-Words model has become a popular model in image retrieval and computer vision. But when the local features of the Interest Points (IPs) are transformed into visual words in this model, the discriminative power of the local features are reduced or compromised. To address this issue, in this paper, we propose a novel contextual descriptor for local features to improve its discriminative...
Current telepresence systems are limited by the use of standard, narrow angle of view cameras. By using an Omni directional camera, an improved visual telepresence system is achieved. This work presents a more immersive visual experience using the Omni directional Panoptic camera in combination with a modern, low cost virtual reality head-mounted display. The camera system and its video data format...
Salient regions are those that stand out from others in an image. We present an algorithm to detect salient regions in an image that is represented as superpixels at a number of resolutions. Superpixels are segments generated by oversegmenting an image and they form a perceptually meaningful representation that preserves the underlying image structure. The novelty of our method is the ranking of a...
Face hallucination can be a useful tool for visualizing a low quality face into a visually better quality, making it an attractive technology for many applications. While faces in surveillance videos are usually at very low resolution, in this paper, we propose to use face hallucination technology to visualize faces from visual surveillance systems, and develop a weighted scheme to enhance the quality...
Computer vision been used to estimate object location relatively from observer on many applications. High definition sensor often used to gain accuracy of the object tracking which resulting high processing complexity. Lower resolution sensor simplifies the process with significant accuracy lost. Particle clustering method estimates the object location by grouping several detection data with certain...
In the context of developmental robotics, a robot has to cope with complex sensorimotor spaces by reducing their dimensionality. In the case of sensor space reduction, classical approaches for pattern recognition use either hardcoded feature detection or supervised learning. We believe supervised learning and hard-coded feature extraction must be extended with unsupervised learning of feature representations...
This live demonstration shows a biology-inspired highly efficient approach to high-speed video data acquisition based on the ATIS image sensor technology. Gray-level image information is acquired pixel-individually and event-driven at a temporal resolution equivalent to thousands of frames-per-second while the data rate is kept at a fraction of the rate encountered with conventional high-speed cameras...
Traditional methods for image retargeting such as scaling and cropping cannot generate satisfactory results because of their neglect of the content of the image. In order to consider the content of the image, saliency detection for finding the regions of interest (ROIs) plays an important role in the process of retargeting an image. In this paper, we present a novel image retargeting method using...
Steganography is a process that involves hiding a message in an appropriate carrier for example an image or an audio file. Many algorithms have been proposed for this purpose in spatial & frequency domain. But in almost all the algorithms it has been noticed that as one embeds the secret data in the image certain characteristics or statistics of the image get disturbed. To deal with this problem...
Inverse Synthetic Aperture Radar produces images which can be trained to recognize by human operators. Because of varying angular motions (roll, pitch, and yaw), the cross-range resolution is produced. So the Automatic Target Recognition (ATR) of ship can be implemented. The centre-line of ship is an important feature. This paper addresses the problem of centre-line detection and length estimation...
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