An increasing number of spatial keyword query techniques that return qualified objects based on a comprehensive consideration of spatial and keyword constraints have been presented in the literature. Due to the comple...
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Image Reconstruction is generally an inverse problem, which helps to recover the original ideal image from its given bad version, such as one that is snowed by noise, blurred by atmospheric turbulence or that has some...
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Image Reconstruction is generally an inverse problem, which helps to recover the original ideal image from its given bad version, such as one that is snowed by noise, blurred by atmospheric turbulence or that has some regions damaged. Image reconstruction techniques are used to create 3D images from sets of various projections. The task of generating fast and accurate 3D image reconstruction has found its application in the field of computer vision like robotics, entertainment, reverse engineering, augmented reality, human computer interaction and animation. This paper deals with detailed study on different methods and evaluation technique used in 3D image reconstructions like visualization technique, triangulation method, multiple kinect capturing system, handling photometric stereo and shadowing information in handling patches. Finally several recommendations on future study have been recommended based on recent issues like reconstructing geometrical shadow region, handling self shadow, shiny object, non-Iambatian surface, occlusion, reconstruction without the use of sensors like Global Positioning System (GPS) and Inertial Navigation System (INS).
Large high-resolution displays allow users to perceive the global context of information from a distance and to explore detailed information at close-up range. This enables the user to interact with displayed content ...
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Facial aging effects can be perceived in two main forms;the first one is the growth related transformations and the second one is the textural variations. Therefore, in order to generate an efficient age classifier, b...
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Virtual Labels are used in computergraphics applications to represent textual information arranged on geometric surfaces. Such information consists of names, numbering, or other relevant data that need to be noticed ...
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Virtual Labels are used in computergraphics applications to represent textual information arranged on geometric surfaces. Such information consists of names, numbering, or other relevant data that need to be noticed quickly when a user scans the objects in the scene. This paper focuses on the so-called massive models, which have a large number of geometric primitives whose rendering presents a high computational cost and for which conventional texturing techniques can extrapolate the available computational resources. In this work we have developed a way to view, in real time, virtual labels with different information on the surfaces of objects in massive models. The technique is implemented entirely on the GPU, and shows no significant loss of performance and low memory cost. CAD models' objects are the main focus of the work, although the solution can be used in other types of objects once their texture coordinates are adjusted correctly.
This book constitutes the refereed proceedings of the Third internationalconference on Advances in Visual Informatics, IVIC 2013, held in Selangor, Malaysia, in November 2013. The four keynotes and 69 papers presente...
ISBN:
(数字)9783319029580
ISBN:
(纸本)9783319029573;9783319029580
This book constitutes the refereed proceedings of the Third internationalconference on Advances in Visual Informatics, IVIC 2013, held in Selangor, Malaysia, in November 2013. The four keynotes and 69 papers presented were carefully reviewed and selected from various submissions. The papers focus on four tracks: computer visions and engineering; computergraphics and simulation; virtual and augmented reality; and visualization and social computing.
Computed tomography (CT) reconstruction methods are often unaware of the requirements of the subsequent 3D volume visualization stage. In this stage, a delicate and often-studied component is the interpolation of off-...
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Computed tomography (CT) reconstruction methods are often unaware of the requirements of the subsequent 3D volume visualization stage. In this stage, a delicate and often-studied component is the interpolation of off-grid samples, where aliasing can lead to misleading artifacts and blurring, potentially hiding fine details of critical importance. The visualization-aware CT reconstruction framework we describe aims to account for these errors directly in the volume generation stage. Our framework informs the CT reconstruction process of the specific filter intended for interpolation in the subsequent visualization process, and this in turn ensures an accurate interpolation there at a set tolerance. Here, we focus on fast trilinear interpolation in conjunction with an octree-type mixed resolution volume representation without T-junctions. Efficient rendering is achieved by a space-efficient and locality-optimized representation, which can straightforwardly exploit fast fixed-function pipelines on GPUs.
Despite extensive efforts to enhance catheter navigation, limited research has been done to visualize and monitor the tissue lesions created during ablation in the attempt to provide feedback for effective therapy. We...
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The fast development of the graphics Processing Unit's progammability and parallel computing power provides new solutions for visualization technology As the carrier of volume date, a cubic box is selected as the ...
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ISBN:
(纸本)9783037855454
The fast development of the graphics Processing Unit's progammability and parallel computing power provides new solutions for visualization technology As the carrier of volume date, a cubic box is selected as the bounding box in the improved ray-casting algorithm, whose diagonal vertex coordinates are stored in boxMin and boxMax respectively. By adjusting the two parameters we can change the shape of the bounding box and then choose the interesting region of the object, a CUDA based interactive volumetric clipping tool is finally realised. By changing the shape of bounding box, the axial volumetric clipping and arbitrary cross-section clipping are important ways to help to get the object's internal information. Experiments show this method is simple, efficient and useful especially for the irregular shape defect. In addition, even for the larger volume of data, we can get a high quality, cross-sectional images on a fast speed.
We present a robust approach for reconstructing the architectural structure of complex indoor environments given a set of cluttered input scans. Our method first uses an efficient occlusion-aware process to extract pl...
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We present a robust approach for reconstructing the architectural structure of complex indoor environments given a set of cluttered input scans. Our method first uses an efficient occlusion-aware process to extract planar patches as candidate walls, separating them from clutter and coping with missing data. Using a diffusion process to further increase its robustness, our algorithm is able to reconstruct a clean architectural model from the candidate walls. To our knowledge, this is the first indoor reconstruction method which goes beyond a binary classification and automatically recognizes different rooms as separate components. We demonstrate the validity of our approach by testing it on both synthetic models and real-world 3D scans of indoor environments.
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