Augmented reality applications become more and more important to enhance our daily life and workflows. The possibility of showing additional virtual content in a camera stream is helpful for many different use cases l...
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ISBN:
(纸本)9781728122977
Augmented reality applications become more and more important to enhance our daily life and workflows. The possibility of showing additional virtual content in a camera stream is helpful for many different use cases like room planning where such applications can offer a simple and intuitive visualization. However, augmented reality applications can suffer from the interference by real objects that may disrupt the user experience. In recent years, there has been research regarding the removal of real objects from camera streams by applying diminished reality techniques. Current approaches are generally limited to flat objects, video streams with little camera movement, or can only remove objects in front of simple and mostly planar backgrounds. In our approach, we show a robust and efficient way to remove a selected3d object from the camera stream visually. The removal is based on a dense 3dreconstruction of the physical environment stored in a voxel grid that can be created and extended on-the-fly. Hereby, an undesired object can be replaced by a background rendered from the reconstruction allowing for more complex environments than previous approaches. Furthermore, remaining holes by the removal of the object are removed applying an inpainting approach. Finally, we apply color correction to get a seamless transition between the virtual content and the camera image.
The proceedings contain 19 papers. The special focus in this conference is on Computer Graphics Theory and Applications. The topics include: Past, present, and future of and in software visualization;distribution inte...
ISBN:
(纸本)9783319251165
The proceedings contain 19 papers. The special focus in this conference is on Computer Graphics Theory and Applications. The topics include: Past, present, and future of and in software visualization;distribution interpolation of the radon transforms for shape transformation of gray-scale images and volumes;multistory floor plan generation and room labeling of building interiors from laser range data;semantic composition of language-integrated shaders;simulatedvirtual crowds coupled with camera-tracked humans;multi-kernel ray traversal for graphics processing units;user’s interpretations of features in visualization;a fractal approach to hierarchy visualization;a potential field function for overlapping point set and graph cluster visualization;designing close anddistant reading visualizations for text re-use;age estimation using 3d shape of the face;coupling dynamic equations and satellite images for modelling ocean surface circulation;affine coordinate-based parametrized active contours for 2d and3d image segmentation;extended bayesian helmholtz stereopsis for enhanced geometric reconstruction of complex objects;efficient region-based classification for whole slide images;unsupervised visual hull reconstruction of a dense dataset;rock fragment boundary detection using compressed random features and retargeting framework based on monte-carlo sampling.
The goal of this paper is the reconstruction of topologically accurate 3-dimensional triangular meshes representing a complex, multi-layered plant tissue structure. Based on time sequences of meristem images of the mo...
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The goal of this paper is the reconstruction of topologically accurate 3-dimensional triangular meshes representing a complex, multi-layered plant tissue structure. Based on time sequences of meristem images of the model plant Arabidopsis thaliana, displaying fluorescence markers on either cell membranes or cell nuclei under confocal laser scanning microscopy, we aim at obtaining faithful reconstructions of all the cell walls in the tissue. In the presented method, the problem is tackled under the angle of topology, and the shape of the cells is seen as the dual geometry of a 3-d simplicial complex accounting for their adjacency relationships. We present a method for optimizing such complexes using an energy minimization process, designed to make them fit to the actual adjacencies in the tissue. The resulting dual meshes constitute a light discrete representation of the cell surfaces that enables fast visualization, and quantitative analysis, and allows in silico physical and mechanical simulations on real-worlddata.
Research on 3d face modeling has been ongoing in the fields of Computer Vision (CV) and Computer Graphics (CG), supporting applications ranging from the creation of synthetic data to the transfer of facial expressions...
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ISBN:
(数字)9798350356816
ISBN:
(纸本)9798350356823
Research on 3d face modeling has been ongoing in the fields of Computer Vision (CV) and Computer Graphics (CG), supporting applications ranging from the creation of synthetic data to the transfer of facial expressions in virtual avatars. This work introduces a framework for 3d face generation that separates identity from expression elements to give fine control over facial expressions. The model generates high-fidelity 3d faces with remarkable appearance and shape by combining the Wasserstein Generative Adversarial Network (WGAN) and Supervised Auto-Encoder (SAE) architectures. In particular, texture synthesis is performed using the Progressive Growing of GANs (ProGAN) technique, and shape formation is made possible by the SAE architecture, which allows for the capture of complex facial traits. The model may provide reconstructions with more realism while maintaining fine-grained features and overall structure because to the fusion of WGAN and VAE. The suggested method is evaluated using both quantitative and qualitative methods. Metric standarddeviation are used for the quantitative analysis, while visual examination of the rebuilt faces is used for the qualitative analysis. The outcomes of the experiments show that the suggested approach performs better in creating realistically shaped and texture 3d face reconstructions.
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