Realistic human model has a wide range of requirements in 3d content creation. A model with high-quality texture map can display human body surface details in low facets which could be toughly represented by geometric...
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ISBN:
(纸本)9781538684979
Realistic human model has a wide range of requirements in 3d content creation. A model with high-quality texture map can display human body surface details in low facets which could be toughly represented by geometric mesh. Image-based texture mapping suffers from discontinuities due to geometry inaccuracy, camera pose drifts, and illumination changes. In this paper, we propose a keyframe-based texture map generation method to obtain more desired texture mapping results. Our method firstly acquire the keyframes by performing a spatio-temporal sampling strategy, rather than just sampling keyframes according to time interval. Then, we apply an efficient patch-based optimization to the keyframes to make the texture data in different views alinged with each other. Finally, we generate a texture atlas from the aligned texture and the simplified mesh. Experimental results demonstrate that our method can get realistic human models with low facets and competitive details within short minutes.
Lidar is extensively used in the industry and mass-market. due to its measurement accuracy and insensitivity to illumination compared to cameras. It is applied onto a broad range of applications, like geodetic enginee...
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ISBN:
(纸本)9781538618547
Lidar is extensively used in the industry and mass-market. due to its measurement accuracy and insensitivity to illumination compared to cameras. It is applied onto a broad range of applications, like geodetic engineering, self-driving cars or virtual reality. But the 3d Lidar with multi-beam is very expensive, and the massive measurements data cannot be fully leveraged on some constrained platforms. The purpose of this paper is to explore the possibility of using cheap 2d Lidar off-the-shelf, to perform complex3dreconstruction, moreover, the generated3d map quality is evaluated by our proposed metrics at the end. The 3d map is constructed in two ways, one way in which the scan is performed at known positions with an external rotary axis not parallel to the intrinsic rotary axis of Lidar. The other way, in which the 2d Lidar for mapping and another 2d Lidar for localization are placed on a trolley, the trolley is pushed on the ground arbitrarily. The generated maps by different approaches are converted to octomaps uniformly before the evaluation. The similarity anddifference between two maps will be evaluated by the proposed metrics thoroughly. The whole mapping system is composed of several modular components. A 3d bracket was made for assembling of the Lidar with a long range, the driver and the motor together. A cover platform made for the IMU and 2d Lidar with a shorter range but high accuracy. The software is stacked up in different ROS packages.
In this paper, we develop novel, efficient 2d encodings for 3d geometry, which enable reconstructing full 3d shapes from a single image at high resolution. The key idea is to pose 3d shape reconstruction as a 2d predi...
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ISBN:
(纸本)9781538664209
In this paper, we develop novel, efficient 2d encodings for 3d geometry, which enable reconstructing full 3d shapes from a single image at high resolution. The key idea is to pose 3d shape reconstruction as a 2d prediction problem. To that end, we first develop a simple baseline network that predicts entire voxel tubes at each pixel of a reference view. By leveraging well-proven architectures for 2d pixel-prediction tasks, we attain state-of-the-art results, clearly outperforming purely voxel-based approaches. We scale this baseline to higher resolutions by proposing a memory-efficient shape encoding, which recursively decomposes a 3d shape into nested shape layers, similar to the pieces of a Matryoshka doll. This allows reconstructing highly detailed shapes with complex topology, as demonstrated in extensive experiments;we clearly outperform previous octreebased approaches despite having a much simpler architecture using standard network components. Our Matryoshka networks further enable reconstructing shapes from Ids or shape similarity, as well as shape sampling.
For the purpose of extracting productions of some specific branching plants effectively and realizing its 3dreconstruction, Terrestrial LidAR data was used as extraction source of production, and a 3dreconstruction ...
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In this work we investigate urban reconstruction and propose a complete and automatic framework for reconstructing urban areas from remote sensing data. Firstly, we address the complex problem of semantic labeling and...
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ISBN:
(纸本)9781538664810
In this work we investigate urban reconstruction and propose a complete and automatic framework for reconstructing urban areas from remote sensing data. Firstly, we address the complex problem of semantic labeling and propose a novel network architecture named SegNeXT which combines the strengths of deep-autoencoders with feed forward links in generating smooth predictions and reducing the number of learning parameters, with the effectiveness which cardinality-enabled residual-based building blocks have shown in improving prediction accuracy and outperforming deeper/wider network architectures with a smaller number of learning parameters. The network is trained with benchmark datasets and the reported results show that it can provide at least similar and in some cases better classification than state-of-the-art. Secondly, we address the problem of urban reconstruction and propose a complete pipeline for automatically converting semantic labels into virtual representations of the urban areas. An agglomerative clustering is performed on the points according to their classification and results in a set of contiguous anddisjoint clusters. Finally, each cluster is processed according to the class it belongs: tree clusters are substituted with procedural models, cars are replaced with simplified CAd models, buildings' boundaries are extruded to form 3d models, and road, low vegetation, and clutter clusters are triangulated and simplified. The result is a complete virtual representation of the urban area. The proposed framework has been extensively tested on large-scale benchmark datasets and the semantic labeling andreconstruction results are reported.
The proceedings contain 15 papers. The special focus in this conference is on virtual Reality and Augmented Reality. The topics include: Context-dependent memory in real andvirtual reality;Evaluation of AR inconsiste...
ISBN:
(纸本)9783030017897
The proceedings contain 15 papers. The special focus in this conference is on virtual Reality and Augmented Reality. The topics include: Context-dependent memory in real andvirtual reality;Evaluation of AR inconsistencies on AR placement tasks: A VR simulation study;recreating sheffield’s medieval castle in situ using outdoor augmented reality;Added Value of a 3d CAVE within design activities;Anchored multiperspective visualization for efficient VR navigation;universal web-based tracking for augmented reality applications;Fully automatic multi-person human motion capture for VR applications;HdM-Net: Monocular non-rigid3dreconstruction with learneddeformation model;HMd-guided image-based modeling and rendering of indoor scenes;kinesTouch: 3d force-feedback rendering for tactile surfaces;Wearable tactile interfaces Using SMA Wires;unrealHaptics: A plugin-system for high fidelity haptic rendering in the unreal engine;distributed signal processing architecture for real-time convolution of 3d audio rendering for mobile applications.
Over the last decade, major technological advances in X-ray computed tomography (CT) have allowed for the investigation andreconstruction of three-dimensional (3d) natural porous media architectures at very fine scal...
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Over the last decade, major technological advances in X-ray computed tomography (CT) have allowed for the investigation andreconstruction of three-dimensional (3d) natural porous media architectures at very fine scales. Soil scientists can use the internal structure information to develop predictive models for a range of physical, chemical and biological processes in soil. Image segmentation and thresholding are crucial steps when applying these methods to extract complex pore space geometry information from images. Traditional thresholding algorithms face challenges related to the heterogeneity of soil samples, noise and artefacts introducedduring the image acquisition process. This study proposes a new segmentation method using local greyscale value (GV) concentration variabilities based on fractal concepts. Singularity maps were created to measure the GV concentration at each point. The C-V method was combined with the singularity map approach (Singularity-CV method) to define thresholds that can be applied to binarize CT images. This study also introduces a new method for creating 3d synthetic soil images based on truncated multifractals that simulate low-contrast and non-bimodal GV histograms. A synthetic soil image was created with the objective to compare traditional segmentation methods (Otsu and maximum entropy) with the Singularity-CV method. We obtained better results in porosity and more amount of pores at all scales than traditional methods, although some small pores were incorrectly identifieddue to the ability to amplify every anomalous GVs. Misclassification error (ME) was low and similar to Otsu. Two different 3d CT soil images were also used in this analysis, corresponding to samples of the same soil with 1.2 and 1.6 g cm(-3) bulk densities. After applying the Singularity-CV method to the GV images, the results were compared with the aforementioned traditional segmentation methods. The image comparison was based on the porosity, pore size distri
This study presents an experimental concept to develop realistic Human-Machine Interaction (HMI) for a virtual Environment (VE) and a novel evaluation methodology of such system. Such evaluation is motivated by the ne...
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This study presents an experimental concept to develop realistic Human-Machine Interaction (HMI) for a virtual Environment (VE) and a novel evaluation methodology of such system. Such evaluation is motivated by the need to facilitate transfer of model/knowledge from VE to the Real Environment (RE), where it is crucial for the VE to trigger similar user behavior as in the RE. This paper discusses the application of such concept to evaluate interactions of forklift operation in the VE. First, a virtual Reality (VR) forklift simulator is developed using motion capture and3dreconstruction methods to mimic HMI of the real forklift operation. Then, the dynamic Time Warping (dTW) algorithm is used for temporal evaluation of operation behaviors in VE and RE. Results of dTW (i.e. distance and correlation) are used as objective measures to evaluate fidelity of VE during forklift operations on the simulator. Results suggest the proposed forklift simulator triggers operation behavior which is similar (highly correlated) to that of real forklift operation. The contributions of this paper are (a) the novel VR forklift simulator system to realize interactions of real forklift in the VE, and (b) the proposed objective measures for temporal evaluation of the fidelity of VE.
virtual Web reconstruction of cultural heritage is one of the most interesting and innovative tool to preserve historical, architectural and artistic memory of many sites, particularly the ones prone to disappear, as ...
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ISBN:
(数字)9783319951744
ISBN:
(纸本)9783319951744;9783319951737
virtual Web reconstruction of cultural heritage is one of the most interesting and innovative tool to preserve historical, architectural and artistic memory of many sites, particularly the ones prone to disappear, as well as to promote territories and tourism development. Recently, high-resolution 3d models are realized through improved technology and integration of survey techniques such as laser scanning and photogrammetry. However, the large andcomplex volume of 3ddata makes difficult to access and handle them for either experts and citizens. In particular, the rendering of large 3d models may influence the performance of web publication and browsing. Considering this background, the goal of this paper is the comparison between the level of accuracy and realism of 3d models optimized using two different mesh simplification. The metric used is based on the Hausdorff distance which is a generic technique to define a distance between two nonempty sets, considering 3d scanner mesh as a reference in the measure. The "Casale di Pacciano" near Bisceglie (Apulia region, Italy), has been investigated as study case.
This proceedings contains 149 papers. 3-d image acquisition anddisplay technology have become critical for many applications, including virtual reality and augmented reality, medical and scientific visualization, def...
ISBN:
(纸本)9781943580446
This proceedings contains 149 papers. 3-d image acquisition anddisplay technology have become critical for many applications, including virtual reality and augmented reality, medical and scientific visualization, defense, flight simulation and training, engineering design, and entertainment. Research includes the acquisition, display, and applications of (non-holographic) 3d information as well as the perception, human factors, and visual comfort of 3d information displays. The conference topics include: Color dynamic holographic display by complex amplitude modulation;Near-eye foveated holographic display;Numerical correction of image distortion in CGH display based on automatic calibration algorithm;Single-Shot Phase Imaging with Codeddiffraction and Its Applications;High Resolution Single-Shot 3d Imaging with the '3d movie camera';Structured Light Imaging under Sunlight Conditions;Grid-based oneshot scan using dot-line pattern;Evaluating the Influence of Camera and Projector Lens distortion in 3dreconstruction Quality for Fringe Projection Profilometry;Hyperspectral + depth Imaging Using Compressive Sensing and Structured Light;Ultrafast, sensitive, and inexpensive 3dimensional MMW/THz imaging system using Glow discharge detector Array and CCd camera based on upconversion to visual band;daniel Rozban, Avihai Aharon (Akram), Amir Abramovich, Yitzhak Yitzhaky, and Natan S. Kopeika;Fundamental Limitations for Augmented Reality displays with Visors, Waveguides, or Other Passive Optics;Curved screen virtual reality headsets;Forming Underwater Information display with Aerial Imaging by Retro-Reflection (AIRR);Mixed Reality Near-eye display with Focus Cue;Super Multi-View Near-Eye display Using Time-Multiplexing Technique;A Continuous Variable Lens System to Address the Accommodation Problem in VR and3ddisplays;Afsoon Jamali, Comrun Yousefzadeh, Colin McGinty, douglas Bryant, and Philip Bos;Light-field backgroundde-cluttering for visual prostheses;Plenoptic Tomog
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