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7th pacific conference on computer graphics and applications, pacific graphics 1999

作者： Takgi, Saeko Fujishiro, Issei Nakajima, Masayuki Department of Computer Science Tokyo Institute of Technology 2-12-1 O-okayama Meguro-ku Tokyo152-8552 Japan Department of Information Sciences Ochanomizu University 2-1-1 Otsuka Bunkyo-ku Tokyo112-8610 Japan

ISBN: (纸本)0769502938

Not only photorealistic rendering but non-photorealistic rendering is considered an important research topic in artistic image synthesis. However, little attention has been given to colored pencil drawing. This paper proposes a volume graphics model for colored pencil drawing. The model consists of three sub-models, which describe in a volumetric fashion, the microstructure of paper, pigment distribution on paper, and pigment redistribution, respectively. The model takes advantage of volumetric offset distance accessibility and line integral convolution, and thus is highly controllable with a small number of parameters. A couple of synthesized color pencil drawing data sets are rendered using an existing volume visualizer to empirically prove that the model is descriptive enough to produce realistic images of colored pencil drawing. © 1999 IEEE.

关键词： Rendering (computer graphics)

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Modification of n-sided patches based on variation of blending functions

Modification of n-sided patches based on variation of blendi...

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Proceedings of the 1997 5th pacific conference on computer graphics and applications

作者： Adachi, Masashi Miura, Kenjiro T. Univ of Aizu Fukushima Japan

By introducing the edge-based blending function derived from the surface-based one, we can capture the effects of the edges on the shape of the n-sided patch more directly. Because of the good nature of the edge-based blending function, the designers can manipulate it as well as the geometry of the boundary curves to design and modify the patch shape. In this paper, we have discussed the derivation of the edge-based blending function, easiness of designing it by the users and, how to connect several patches with G1 continuity. We have demonstrated its validity by modifying rectangular patches according to its changes.

关键词： computer graphics

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Computing restricted Voronoi diagram on graphics hardware 25

Computing restricted Voronoi diagram on graphics hardware

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25th pacific conference on computer graphics and applications, pacific graphics 2017

作者： Han, Jiawei Yan, Dong-Ming Wang, Lili Zhao, Qinping State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and Engineering Beihang University China National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences China

ISBN: (纸本)9783038680512

The 3D restricted Voronoi diagram (RVD), defined as the intersection of the 3D Voronoi diagram of a pointset with a mesh surface, has many applications in geometry processing. There exist several CPU algorithms for computing RVDs. However, such algorithms still cannot compute RVDs in realtime. In this short paper, we propose an efficient algorithm for computing RVDs on graphics hardware. We demonstrate the robustness and the efficiency of the proposed GPU algorithm by applying it to surface remeshing based on centroidal Voronoi tessellation. © 2017 The Author(s) Eurographics Proceedings © 2017 The Eurographics Association.

关键词： Computational geometry

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3D Video Recorder 10

3D Video Recorder

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10th pacific conference on computer graphics and applications

作者： Würmlin, S Lamboray, E Staadt, OG Gross, MH Swiss Fed Inst Technol Dept Comp Sci Zurich Switzerland

ISBN: (纸本)0769517846;0769517854

We present the 3D Video Recorder a system capable of recording, processing, and playing three-dimensional video from multiple points of view. We first record 2D video streams from several synchronized digital video cameras and store pre-processed images to disk. An off-line processing stage converts these images into a time-varying three-dimensional hierarchical point-based data structure and stores this 3D video to disk. We show how we can trade-off 3D video quality with processing performance and devise efficient compression and coding schemes for our novel 3D video representation. A typical sequence is encoded at less than 7 megabit per second at a frame rate of 8.5 frames per second. The 3D video player decodes and renders 3D videos from hard-disk in real-time, providing interaction features known from common video cassette recorders, like variable-speed forward and reverse, and slow motion. 3D video playback can be enhanced with novel 3D video effects such as freeze-and-rotate and arbitrary scaling. The player builds upon point-based rendering techniques and is thus capable of rendering high-quality images in real-time. Finally, we demonstrate the 3D Video Recorder on multiple real-life video sequences.

关键词： Data structures Decoding Digital cameras Disk recording Image coding Image converters Rendering (computer graphics) Streaming media Video compression Video recording

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Weakly Supervised Part-wise 3D Shape Reconstruction from Single-View RGB Images

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computer graphics FORUM 2020年第7期39卷 447-457页

作者： Niu, Chengjie Yu, Yang Bian, Zhenwei Li, Jun Xu, Kai Natl Univ Def Technol Changsha Hunan Peoples R China

In order for the deep learning models to truly understand the 2D images for 3D geometry recovery, we argue that single-view reconstruction should be learned in a part-aware and weakly supervised manner. Such models lead to more profound interpretation of 2D images in which part-based parsing and assembling are involved. To this end, we learn a deep neural network which takes a single-view RGB image as input, and outputs a 3D shape in parts represented by 3D point clouds with an array of 3D part generators. In particular, we devise two levels of generative adversarial network (GAN) to generate shapes with both correct part shape and reasonable overall structure. To enable a self-taught network training, we devise a differentiable projection module along with a self-projection loss measuring the error between the shape projection and the input image. The training data in our method is unpaired between the 2D images and the 3D shapes with part decomposition. Through qualitative and quantitative evaluations on public datasets, we show that our method achieves good performance in part-wise single-view reconstruction.

关键词： CCS Concepts • Computing methodologies → Reconstruction Shape representations Point‐based models • computer systems organization → Neural networks

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`Skeleton Climbing': Fast isosurfaces with fewer triangles

`Skeleton Climbing': Fast isosurfaces with fewer triangles

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Proceedings of the 1997 5th pacific conference on computer graphics and applications

作者： Poston, Tim Nguyen, H.T. Heng, Pheng-Ann Wong, Tien-Tsin Natl Univ of Singapore Singapore Singapore

Skeleton Climbing is an algorithm that builds triangulated isosurfaces in 3D grid data, more economically than Marching Cubes, and without the time penalty of current mesh decimation algorithms. Building the surface from its intersections with grid edges (1-skeleton), then faces (2-skeleton), then cubes (3-skeleton), treats the data in a uniform way;this allows a 25% reduction in the number of triangles produced, while still creating a true separating surface at similar speed.

关键词： Three dimensional computer graphics

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Virtual spectrophotometric measurements for biologically and physically-based rendering 8

Virtual spectrophotometric measurements for biologically and...

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8th pacific conference on computer graphics and applications, PG 2000

作者： Baranoski, G.V.G. Rokne, J.G. Xu, Guangwu Department of Computer Science University of Utah United States Department of Computer Science University of Calgary Canada Diversinet Corp. TorontoON Canada

ISBN: (纸本)0769508685

The main topic of the paper is virtual spectrophotometers, virtual spectrophotometry and strategies for reducing the number of samples required to obtain asymptotically convergent measurements. A brief section on applications of virtual spectrophotometry is presented. This is followed by a careful formulation of virtual spectrophotometers. A virtual spectrophotometer, being a virtual device, is only described by its geometry. © 2000 IEEE.

关键词： Monte Carlo methods

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Retargeting 3D Objects and Scenes with a General Framework

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computer graphics FORUM 2016年第7期35卷 33-42页

作者： Huang, Chun-Kai Chen, Yi-Ling Shen, I-Chao Chen, Bing-Yu Natl Taiwan Univ Taipei Taiwan Univ Calif Davis Davis CA 95616 USA Univ British Columbia Vancouver BC Canada

In this paper, we introduce an interactive method suitable for retargeting both 3D objects and scenes. Initially, the input object or scene is decomposed into a collection of constituent components enclosed by corresponding control bounding volumes which capture the intra-structures of the object or semantic grouping of objects in the 3D scene. The overall retargeting is accomplished through a constrained optimization by manipulating the control bounding volumes. Without inferring the intricate dependencies between the components, we define a minimal set of constraints that maintain the spatial arrangement and connectivity between the components to regularize the valid retargeting results. The default retargeting behavior can then be easily altered by additional semantic constraints imposed by users. This strategy makes the proposed method highly flexible to process a wide variety of 3D objects and scenes under an unified framework. In addition, the proposed method achieved more general structure-preserving pattern synthesis in both object and scene levels. We demonstrate the effectiveness of our method by applying it to several complicated 3D objects and scenes.

关键词： Categories and Subject Descriptors (according to ACM CCS) I.3.5 [computer graphics]: Computational Geometry and Object Modeling&mdash

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Generative Adversarial Image Super-Resolution Through Deep Dense Skip Connections

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computer graphics FORUM 2018年第7期37卷 289-300页

作者： Zhu, Xiaobin Li, Zhuangzi Zhang, Xiaoyu Li, Haisheng Xue, Ziyu Wang, Lei Beijing Technol & Business Univ Sch Comp & Informat Engn Beijing Peoples R China Chinese Acad Sci Inst Informat Engn Beijing Peoples R China Acad Broadcasting Sci SAPPRFT Beijing Peoples R China

Recently, image super-resolution works based on Convolutional Neural Networks (CNNs) and Generative Adversarial Nets (GANs) have shown promising performance. However, these methods tend to generate blurry and over-smoothed super-resolved (SR) images, due to the incomplete loss function and powerless architectures of networks. In this paper, a novel generative adversarial image super-resolution through deep dense skip connections (GSR-DDNet), is proposed to solve the above-mentioned problems. It aims to take advantage of GAN's ability of modeling data distributions, so that GSR-DDNet can select informative feature representation and model the mapping across the low-quality and high-quality images in an adversarial way. The pipeline of the proposed method consists of three main components: 1) The generator of a novel dense skip connection network with the deep structure for learning robust mapping function is proposed to generate SR images from low-resolution images;2) The feature extraction network based on VGG-19 is adopted to capture high frequency feature maps for content loss;and 3) The discriminator with Wasserstein distance is adopted to identify the overall style of SR and ground-truth images. Experiments conducted on four publicly available datasets demonstrate the superiority against the state-of-the-art methods.

关键词： CCS Concepts •Computing methodologies → Image processing •computer systems organization → Neural networks

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Efficient Multi-image Correspondences for On-line Light Field Video Processing

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computer graphics FORUM 2016年第7期35卷 401-410页

作者： Dabala, L. Ziegler, M. Didyk, P. Zilly, F. Keinert, J. Myszkowski, K. Seidel, H. -P. Rokita, P. Ritschel, T. MPI Informat Saarbrucken Germany Warsaw Univ Technol Warsaw Poland Fraunhofer IIS Erlangen Germany Univ Saarland Saarbrucken Germany UCL London England

Light field videos express the entire visual information of an animated scene, but their shear size typically makes capture, processing and display an off-line process, i.e., time between initial capture and final display is far from real-time. In this paper we propose a solution for one of the key bottlenecks in such a processing pipeline, which is a reliable depth reconstruction possibly for many views. This is enabled by a novel correspondence algorithm converting the video streams from a sparse array of off-the-shelf cameras into an array of animated depth maps. The algorithm is based on a generalization of the classic multi-resolution Lucas-Kanade correspondence algorithm from a pair of images to an entire array. Special inter-image confidence consolidation allows recovery from unreliable matching in some locations and some views. It can be implemented efficiently in massively parallel hardware, allowing for interactive computations. The resulting depth quality as well as the computation performance compares favorably to other state-of-the art light field-to-depth approaches, as well as stereo matching techniques. Another outcome of this work is a data set of light field videos that are captured with multiple variants of sparse camera arrays.

关键词： Categories and Subject Descriptors (according to ACM CCS) I.4.8 [Image processing and computer Vision]: Scene Analysis&mdash Shape

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