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Virtual characters are an integral part of many games and virtual worlds. The ability to accurately synchronize lip movement to audio speech is an important aspect in the believability of the character. In this paper we propose a simple rule-based lip-syncing algorithm for virtual agents using the web browser. It works in real-time with live input, unlike most current lip-syncing proposals, which...
Graphical models are useful for discussing different aspects of processes, structures or requirements. The visual syntax of a standard modelling language cannot support all such aspects. There are several cases where it would be desirable to decorate the symbols in a diagram with additional visual annotations. This way, it is possible to include specific information (such as security requirements)...
Visualisations are a useful tool for helping people understand and communicate data. However, flexible and powerful tools for creating visualisations are mainly accessible only to programmers. My proposal is to explore the use of programming by example and direct manipulation as the main paradigms for building visualisation tools for end user programmers.
In shape learning for a digital image, it is a common that one would encountered two major problems, which are noise and missing edges. The existing research approaches aim to reduce noise, while at the same time to recover the missing edges. However, noise reductions using contour detector or smoothening techniques could indirectly distort the salient boundary. Most of the research works only focus...
With the emergence of a large number of 3D models, retrieving 3D models is becoming more and more important. It is well known that 3D shape features suffer from sparse sampling and view-based features have the ambiguity of different views for a 3D model. In this paper we present a method which combines 3D shape features with view-based features of 3D model to retrieve models. Moreover, according to...
This method achieves efficient random explorations of open and dynamic environments. It relies on two main assumptions: (1) moveable object are interesting, (2) focus on visually salient areas first, that are not specific to a particular scenario or experimental setup.
Psychologists report that infants rely on shape rather than colour for object recognition, differentiation and generalisation for both verbal and non-verbal tasks. In this paper we propose a mechanism for object generalisation, based on inductive inference and differentiation using visual along with non-visual information obtained through the manipulation of various objects. Experiments are conducted...
The interactive artwork “deBallution” is to catch audience members' throwing movements on a virtual screen and drawing various generated kaleidoscope images to predict points from the audience throwing on the screen. Audience members threw the pseudo-balls for large-size screen and caused symbolic digital revolution, devolution.
In this paper, we propose a novel marker design and its tracking algorithm for room-sized MR/AR environments. The markers and the algorithm are designed to solve the following practical problems: i) the difficulties in creating and arranging markers and ii) the trade-off between inconspicuousness and robustness of markers. The proposed markers are small chips that are cut off a large paper sheet,...
We present the evaluation of EyeAR, a display with refocusable content based on user's eyes measurements. We carried out a user study to validate the prototype to verify that participants cannot distinguish between real and virtual objects. Participants looked at three pillars (one of which was virtual) placed at different distances from the user. They had to guess which pillar was the virtual one...
We present a new mixed reality approach to achieve tangible object manipulation with a single, fully portable, and self-contained device. Our solution is based on the concept of a “tangible volume.” We turn a tangible object into a handheld fish-tank display. Our approach, however, goes beyond traditional fish-tank VR in that it can be viewed from all sides, and that the tangible volume represents...
The goal of this paper is to investigate the effect of choosing a certain halftone screen on image graininess development and to establish the metrics for image graininess in high-end digital printing technologies. With the obtained knowledge, our model helps us choose the optimal periodicity matrices for designing regular or irregular clustered dot halftones. The main advantage of the proposed model...
Image classification is a general visual analysis task based on the image content coded by its representation. In this research, we proposed an image representation method that is based on the perceptual shape features and their spatial distributions. A natural language processing concept, N-gram, is adopted to generate a set of perceptual shape visual words for encoding image features. By combining...
Sketch-based image retrieval (SBIR) is a challenging task due to the ambiguity inherent in sketches when compared with photos. In this paper, we propose a novel convolutional neural network based on Siamese network for SBIR. The main idea is to pull output feature vectors closer for input sketch-image pairs that are labeled as similar, and push them away if irrelevant. This is achieved by jointly...
In this paper, we propose a computational framework using high-dimensional shape descriptors of reconstructed attractors of center-of-pressure (CoP) tracings collected from subjects with Parkinson's disease while performing dynamical posture shifts, to quantitatively assess balance impairment. Using a dataset collected from 60 subjects, we demonstrated that the proposed method outperforms traditional...
Automated glaucoma detection is an important application of retinal image analysis. Compared with segmentation based approaches, image classification based approaches have a potential of better performance. However, it still remains a challenging problem for two reasons. Firstly, due to insufficient sample size, learning effective features is difficult. Secondly, the shape variations of optic disc...
Significant progress has been made in recent years for computer-aided diagnosis of abnormal pulmonary textures from computed tomography (CT) images. Similar initiatives in chest radiographs (CXR), the common modality for pulmonary diagnosis, are much less developed. CXR are fast, cost effective and low-radiation solution to diagnosis over CT. However, the subtlety of textures in CXR makes them hard...
Colors play a fundamental role for children, both in the everyday life and in education. They recognize the surrounding world, and play games making a large use of colors. They learn letters and numbers by means of colors. As a consequence, early diagnosis of color blindness is an crucial to support an individual affected by this visual perception alteration at the initial phase of his/her life. The...
Visual attention plays an important role in human visual system, helping people to attend to things even before recognition. By its functionality, it can be treated as three kinds: SBA (spatial-based attention), OBA (object-based attention), and FBA (feature-based attention). Early works that model the mechanism of visual saliency mainly concern only one aspect of saliency. Recently, it has been shown...
Taking advantage of multi-core processing has become crucial in realizing significant performance gains for most applications. When it comes to performance optimization, this has led to a delicate balancing act between parallelism and locality. Furthermore, exposing parallelism can require some non-trivial transformations. Although tools exist to automatically identify good transformations, a user...
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