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Lecture Notes in computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2016年 9712 LNCS卷 645-652页

作者： Zheng, Xiaohui Ning, Yi Chen, Xianjun Zhan, Yongsong Guangxi Colleges and Universities Key Laboratory of Intelligent Processing of Computer Image and Graphics Guilin University of Electronic Technology GuilinGuangxi541004 China Guangxi Experiment Center of Information Science Guilin University of Electronic Technology GuilinGuangxi541004 China Guangxi Colleges and Universities Key Laboratory of Cloud Computing and Complex Systems Guilin University of Electronic Technology GuilinGuangxi541004 China Guangxi Key Laboratory of Trusted Software Guilin University of Electronic Technology GuilinGuangxi541004 China

ISBN: (纸本)9783319409993

Surveillance video is characterized by large amount of data and redundancy, which makes the suspicious face detection to be a problem. To solve the problem above we proposed suspicious face detection based on key frame. Surveillance video has the type of fixed background, so this paper used the frame difference method with low computational complexity and small computation to extract the key frame. We proposed a new method combined DPM with skin color detection to detect the suspicious face in the key frames. To solve the speed bottleneck of the traditional DPM, we proposed to use the fast HOG LUT feature extraction and the near optimal cost sensitive decision making improving the traditional method. Meanwhile we used YCrCb + otsu skin color segmentation. Since the otsu is easily affected by the illumination, we proposed an improved skin color detection. Experiment results show that the proposed algorithms are robust and accurate for real-time. © Springer International Publishing Switzerland 2016.

关键词： Face recognition

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The development of a concept inventory for engineering graphics

The development of a concept inventory for engineering graph...

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Frontiers in Education (FIE) Conference

作者： Steven Y. Nozaki Sheryl A. Sorby Nancy E. Study Heidi M. Steinhauer Mary Sadowski Ronald Miller Department of Engineering Education The Ohio State University Columbus OR USA Engineering Fundamentals Embry-Riddle Aeronautical University Daytona Beach FL USA Penn State Behrend Mechanical Engineering Technology Erie PA USA Purdue University Computer Graphics Technology West Lafayette IN USA Chemical and Biological Engineering Colorado School of Mines CO USA

ISBN: (纸本)9781509017911

A concept inventory is an instrument that helps identify concepts that students do not understand, and identify which misconceptions are the most prevailing. Concept Inventories can also be used in course design to identify potential topics and aid in assessment. Misconceptions can be deep-seated ideas and therefore challenging to overcome in terms of learning. The use of a quality inventory in engineering graphics may help address such matters. Presently, there exists no nationally normed and validated instrument that can be used in engineering graphics courses to assess misconceptions and competencies. In a previous project, a Delphi Study was used to help identify fundamental topics in the area of engineering graphics. The research team collaborated to produce items that attempted to address these concepts. Piloting these initial items helped improve the item stems and provided a starting point on the formation of distractors. Revised items were compiled into a trial instrument, from which data is being collected at the time of paper submission. Analysis will be conducted on the results of the trial instruments and further refinement will occur.

关键词： graphics Education Solids

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Building and site reconstruction from small scale unmanned aerial vehicles (UAV's)

Building and site reconstruction from small scale unmanned a...

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Urban Remote Sensing Joint Event

作者： Friedrich Fraundorfer Institute for Computer Graphics and Vision Graz University of Technology Austria

This paper investigates the use of small scale unmanned aerial vehicles (UAV's) for the 3D reconstruction of buildings and urban sites. The paper discusses the current state-of-the-art and benefits of using UAV imagery. Furthermore, the paper describes the steps of a highly automated 3D reconstruction pipeline. Experiments are carried out to show the benefits of UAV imagery for urban building reconstruction and results are compared to these of traditional aerial imaging.

关键词： Three-dimensional displays Cameras Buildings Image resolution Remote sensing Rendering (computer graphics)

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Training a Feedback Loop for Hand Pose Estimation

Training a Feedback Loop for Hand Pose Estimation

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International Conference on computer Vision (ICCV)

作者： Markus Oberweger Paul Wohlhart Vincent Lepetit Institute for Computer Graphics and Vision Graz University of Technology Austria

ISBN: (纸本)9781467383929

We propose an entirely data-driven approach to estimating the 3D pose of a hand given a depth image. We show that we can correct the mistakes made by a Convolutional Neural Network trained to predict an estimate of the 3D pose by using a feedback loop. The components of this feedback loop are also Deep Networks, optimized using training data. They remove the need for fitting a 3D model to the input data, which requires both a carefully designed fitting function and algorithm. We show that our approach outperforms state-of-the-art methods, and is efficient as our implementation runs at over 400 fps on a single GPU.

关键词： Optimization Three-dimensional displays Solid modeling Synthesizers Data models Training Feedback loop

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High-Quality Point-Based Rendering Using Fast Single-Pass Interpolation

High-Quality Point-Based Rendering Using Fast Single-Pass In...

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International Congress on Digital Heritage

作者： Markus Schütz Michael Wimmer Institute of Computer Graphics Vienna University of Technology Vienna Austria

We present a method to improve the visual quality of point cloud renderings through a nearest-neighbor-like interpolation of points. This allows applications to render points at larger sizes in order to reduce holes, without reducing the readability of fine details due to occluding points. The implementation requires only few modifications to existing shaders, making it eligible to be integrated in software applications without major design changes.

关键词： computer graphics point clouds WebGL

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Fast and Accurate Image Upscaling with Super-Resolution Forests

Fast and Accurate Image Upscaling with Super-Resolution Fore...

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IEEE Conference on computer Vision and Pattern Recognition

作者： Samuel Schulter Christian Leistner Horst Bischof Graz University of Technology Institute for Computer Graphics and Vision Microsoft Photogrammetry

ISBN: (纸本)9781467369657

The aim of single image super-resolution is to reconstruct a high-resolution image from a single low-resolution input. Although the task is ill-posed it can be seen as finding a non-linear mapping from a low to high-dimensional space. Recent methods that rely on both neighborhood embedding and sparse-coding have led to tremendous quality improvements. Yet, many of the previous approaches are hard to apply in practice because they are either too slow or demand tedious parameter tweaks. In this paper, we propose to directly map from low to high-resolution patches using random forests. We show the close relation of previous work on single image super-resolution to locally linear regression and demonstrate how random forests nicely fit into this framework. During training the trees, we optimize a novel and effective regularized objective that not only operates on the output space but also on the input space, which especially suits the regression task. During inference, our method comprises the same well-known computational efficiency that has made random forests popular for many computer vision problems. In the experimental part, we demonstrate on standard benchmarks for single image super-resolution that our approach yields highly accurate state-of-the-art results, while being fast in both training and evaluation.

关键词： super-resolution images Fasting Image Imagery (Psychotherapy) Forest Quality Improvement computer vision

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Pairwise linear regression: An efficient and fast multi-view facial expression recognition

Pairwise linear regression: An efficient and fast multi-view...

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International Conference on Automatic Face and Gesture Recognition

作者： Mahdi Jampour Thomas Mauthner Horst Bischof Institute for Computer Graphics and Vision Graz University of Technology Graz Austria

Multi-view facial expression recognition (MFER) is an active research topic in facial analysis. In fact, not only the accuracy but also time complexity is desirable for real applications. In this paper, we introduce a new fast and robust approach for recognizing facial expressions in arbitrary views. Our approach relies on learning linear regressions between pairs of non-frontal and frontal sets to virtually compensate occluded facial parts. We learn linear regression for projecting from non-frontal to frontal views. Such approximated frontal training features are applied for training view specific facial expression classifiers. We propose a number of different variants of our approach, including sparse encoding and ridge-regression for feature representation. While classical pose specific methods strongly depend on the quality of the pose estimation step, our approaches maintain their superior behavior even under severe pose noise. We evaluate on both BU3DFE and Multi-PIE datasets and outperform the state-of-the-art in classification accuracy, even with a simple pose specific baseline method, while being extremely robust to feature noise and erroneous viewpoint estimation with our pairwise regression approaches.

关键词： Linear regression Face recognition Encoding Face Dictionaries Feature extraction Facial features

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Colorimetric analysis of screening technologies in digital printing 67

Colorimetric analysis of screening technologies in digital p...

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67th Annual Technical Conference of the Technical Association of the Graphic Arts, TAGA: Disseminating Graphic Arts Research Internationally since 1948

作者： Dharavath, H. Naik Snyder, Mark Department of Computer Electronics and Graphics Technology Central Connecticut State University New BritainCT06050 United States Dept. of Applied Engineering Safety and Technology Millersville University MillersvillePA17551-0302 United States

ISBN: (纸本)9781935185079

This research project was developed to investigate potential differences between Amplitude Modulated (AM) and Frequency Modulated (FM) screening of multicolor (CMYK) digital printing. The study examined the attributes of print contrast, dot gain, gray balance and color variation and how they may vary based on the screening method used. The experiment was conducted in a color managed digital printing workflow. Color differences were identified in print samples of AM vs. FM screening. Methods used to measure print attributes are detailed, and data was collected, graphed and analyzed. The study shows that measurable differences do exist and that visual changes in color can occur based on the screening method employed. A custom target was printed on the Konica-Minolta C6000 bizHub digital color press using Creo's AM and FM screening technologies. A pilot test was conducted to achieve the target toner density values (+/-0.10) according to in-house standards. During the pilot test, 200 sheets were printed. Once density values were achieved, the digital press was run continuously without operator interference and another 200 sheets were printed (100 sheets for each screening option), from which a total of 160 sheets were randomly selected (80 sheets for each screening option) for the densitometric and colorimetric analysis. Only attributes that measured patches made up of dots or screened tint percentages were used to compare the two screening technologies. Print attributes that utilize solid patches only were not compared. The findings of this study represent specific printing or testing conditions. The findings of this research led to the conclusion that FM screening provides greater print contrast than AM screening. The findings make it difficult to draw conclusions regarding dot gain. Further study is needed to attempt greater control of variables.

关键词： Color

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Cognitive Load in Real-Time Strategy Gaming: Human Opponent Versus AI Opponent

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The computer Games Journal 2015年第1期4卷 19-30页

作者： Chen, Yang Ou, Jian Whittinghill, David M. Department of Computer Graphics Technology Purdue University West Lafayette USA Department of New Media Technology and Art Harbin Institute of Technology Harbin China

This paper examines the cognitive load in real-time strategy gaming subjects along with physiological and subjective measurements. The subjects were college students from a northeastern university in China. This paper is a study into players’ cognitive load measurement when playing against human opponents and game artificial intelligences (game AIs). Using eye trackers, action per minute recorders and questionnaires, we collected qualitative data from participants about their cognitive load through playing against human opponents and game AI opponents. The results indicate that players have more cognitive load when playing against human opponents than against game AI opponents. Secondly, as the players’ gaming skill increased, their cognitive load did not differ substantially when they switched from playing against human players to playing against game AI opponents. A deeper understanding of players’ cognitive load can enable a developer to design a more appropriate game experience.

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From Google File System to Omega: A Decade of Advancement in Big Data Management at Google

From Google File System to Omega: A Decade of Advancement in...

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IEEE International Conference on Big Data Computing Service and Applications (BigDataService)

作者： Jade Yang Department of Computer Information Technology and Graphics Purdue University - Calumet Hammond IN USA

Since the dawn of the Big Data era the search giant Google has been in the lead for meeting the challenge of the new era. Results from Google's big data projects in the past decade have inspired the development of many other big data technologies such as Apache Hadoop and NoSQL databases. The study article examines ten major milestone papers on big data management published by Google, from Google File system (GFS), MapReduce, Bigtable, Chubby, Percolator, Pregel, Dremel, to Megastore, Spanner and finally Omega. The purpose of the study article is to help provide a high-level understanding of the concepts behind many popular big data solutions and derive insights on building robust and scalable systems for handling big data.

关键词： Servers Google Big data Databases Metadata File systems computer architecture

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