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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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FPGA-Based Real-Time Charged Particle Trajectory Reconstruction at the Large Hadron Collider

FPGA-Based Real-Time Charged Particle Trajectory Reconstruct...

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Annual IEEE symposium on Field-Programmable Custom Computing Machines (FCCM)

作者： Edward Bartz Jorge Chaves Yuri Gershtein Eva Halkiadakis Michael Hildreth Savvas Kyriacou Kevin Lannon Anthony Lefeld Anders Ryd Louise Skinnari Robert Stone Charles Strohman Zhengcheng Tao Brian Winer Peter Wittich Zhiru Zhang Margaret Zientek Rutgers University New Brunswick NJ Cornell University Ithaca NY University of Notre Dame South Bend IN Rutgers The State University of New Jersey New Brunswick NJ US The Ohio State University Columbus OH

the upgrades of the Compact Muon Solenoid particle physics experiment at CERN's Large Hadron Collider provide a major challenge for the real-time collision data selection. this paper presents a novel approach to pattern recognition and charged particle trajectory reconstruction using an all-FPGA solution. the challenges include a large input data rate of about 20 to 40 Tbps, processing a new batch of input data every 25 ns, each consisting of about 10,000 precise position measurements of particles (`stubs'), perform the pattern recognition on these stubs to find the trajectories, and produce the list of parameters describing these trajectories within 4 μs. A proposed solution to this problem is described, in particular, the implementation of the pattern recognition and particle trajectory determination using an all-FPGA system. the results of an end-to-end demonstrator system based on Xilinx Virtex-7 FPGAs that meets timing and performance requirements are presented.

关键词： Trajectory Field programmable gate arrays Detectors Large Hadron Collider Real-time systems pattern recognition Hardware

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Centroid based pose ratio for pedestrian action recognition

Centroid based pose ratio for pedestrian action recognition

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IEEE International symposium on Industrial Electronics (ISIE)

作者： Joko Hariyono Kang-Hyun Jo Graduate School of Electrical Engineering University of Ulsan Ulsan Republic of Korea

ISBN: (纸本)9781509008742

this study explores a unique pose of human walking by proposing centroid based pose ratio for pedestrian action recognition. Our proposal uses width and height of bounding box, and also centroid of human shape to compute a pose ratio. then, the proposed model incorporates the pose ratio with pedestrian lateral speed, walking direction and spatial layout of the environment to perform action classification. Lateral speed of pedestrian is determined by using point tracking on the projected point of centroid of detected human on the ground plane. Walking direction of object is estimated by using concatenated consecutive frames. Context of road is used to define the spatial layout. Pedestrian is detected in which location, road or non-road zone. Lane detection is performed for estimating the road boundary as the road zone. the proposed algorithm is evaluated on publicly available datasets. the performance results are presented.

关键词： traffic engineering computing pedestrians pose estimation shape recognition Pedestrians Centroid shape recognition pose estimation engineering computing space layout Road pattern recognition bounding boxes

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Approximate On-line Palindrome recognition, and Applications

Approximate On-line Palindrome Recognition, and Applications

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25th Annual symposium on Combinatorial pattern Matching (CPM)

作者： Amir, Amihood Porat, Benny Bar Ilan Univ Dept Comp Sci IL-52900 Ramat Gan Israel

ISBN: (纸本)9783319075662;9783319075655

Palindrome recognition is a classic problem in computer science. It is an example of a language that can not be recognized by a deterministic finite automaton and is often brought as an example of a problem whose decision by a single-tape Turing machine requires quadratic time. In this paper we re-visit the palindrome recognition problem. We define a novel fingerprint that allows recognizing palindromes on-line in linear time with high probability. We then use group testing techniques to show that the fingerprint can be adapted to recognizing approximate palindromes on-line, i.e. it can recognize that a string is a palindrome with no more than k mismatches, where k is given. Finally, we show that this fingerprint can be used as a tool for solving other problems on-line. In particular we consider approximate pattern matching by non-overlapping reversals. this is the problem where two strings S and T are given and the question is whether applying a sequence of non-overlapping reversals to S results in string T.

关键词： Turing machines

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Combinatorial pattern Matching - 25th Annual symposium, CPM 2014, Proceedings

Combinatorial Pattern Matching - 25th Annual Symposium, CPM ...

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25th Annual symposium on Combinatorial pattern Matching, CPM 2014

ISBN: (纸本)9783319075655

the proceedings contain 28 papers. the topics discussed include: on the efficiency of the hamming C-center string problems;dictionary matching with one gap;approximate on-line palindrome recognition, and applications;computing minimal and maximal suffixes of a substring revisited;compressed subsequence matching and packed tree coloring;reversal distances for strings with few blocks or small alphabets;on combinatorial generation of prefix normal words;permuted scaled matching;the worst case complexity of maximum parsimony;from indexing data structures to de bruijn graphs;randomized and parameterized algorithms for the closest string problem;indexed geometric jumbled pattern matching;an improved query time for succinct dynamic dictionary matching;order-preserving pattern matching with k mismatches;parameterized complexity analysis for the closest string with wildcards problem;and computing palindromic factorizations and palindromic covers on-line.

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Learning and association of Features for Action recognition in Streaming Video 10

Learning and Association of Features for Action Recognition ...

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10th International symposium on Visual Computing (ISVC)

作者： Nair, Binu M. Asari, Vijayan K. Univ Dayton ECE Dept Dayton OH 45469 USA

ISBN: (纸本)9783319143644;9783319143637

We propose a novel framework which learns and associates local motion pattern manifolds in streaming videos using generalized regression neural networks (GRNN) to facilitate real time human action recognition. the motivation is to determine an individual's action even when the action cycle has not yet been completed. the GRNNs are trained to model the regression function of patterns in latent action space on the input local motion-shape patterns. this manifold learning makes the framework invariant to different sequence length and varying action states. Computation of latent action basis is done using EOF analysis and association of local temporal patterns to an action class at runtime follows a probabilistic formulation. this corresponds to finding the closest estimate the GRNN obtains to the corresponding action basis. Experimental results on two datasets, Kth and the UCF Sports, show accuracy of above 90% obtained from 15 to 25 frames.

关键词： Neural networks

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Multilingual Hierarchical MRASTA Features for ASR

Multilingual Hierarchical MRASTA Features for ASR

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14th Annual Conference of the International-Speech-Communication-association (INTERSPEECH 2013)

作者： Tueske, Zoltan Schlueter, Ralf Ney, Hermann Rhein Westfal TH Aachen Dept Comp Sci Human Language Technol & Pattern Recognit D-52056 Aachen Germany LIMSI CNRS Spoken Language Proc Grp Paris France

ISBN: (纸本)9781629934433

Recently, a multilingual Multi Layer Perceptron (MLP) training method was introduced without having to explicitly map the phonetic units of multiple languages to a common set. this paper further investigates this method using bottleneck (BN) tandem connectionist acoustic modeling for four high-resourced languages English, French, german, and Polish Aiming at the improvement of already existing high performing automatic speech recognition (ASR) systems, the multilingual training of the BN-MLP is extended from short-term to hierarchical long-term (multi-resolutional RASTA) feature extraction. Furthermore, deeper structures and context-dependent target labels are also examined. We experimentally demonstrate that a single state-of-the-art BN feature set can be trained for multiple languages, which is superior to the monolingual feature set, and results in significant gains in all the four languages. Studying the scalability of the multilingual BN features, a similar gain is observed in small (50 hours) and in larger scale (300 hours) ASR experiments regardless of the distribution of the data amount between the languages. Using deeper structures, context-dependent targets, and speaker adaptation, the multilingual BN reduces the word error rates by 3-7% relative over the target language BN features and 25-30% over the conventional MFCC system.

关键词： deep MLP bottleneck multilingual hierarchical MRASTA LVCSR

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pattern recognition - Joint 34th DAGM and 36th OAGM symposium, Proceedings

Pattern Recognition - Joint 34th DAGM and 36th OAGM Symposiu...

引用

Joint 34th symposium of the german association for pattern recognition, DAGM 2012 and 36th symposium of the Austrian association for pattern recognition, OAGM 2012

ISBN: (纸本)9783642327162

the proceedings contain 50 papers. the topics discussed include: as time goes by-anytime semantic segmentation with iterative context forests;interactive labeling of image segmentation hierarchies;hierarchy of localized random forests for video annotation;curvature prior for MRF-based segmentation and shape inpainting;anisotropic range image integration;modeling of sparsely sampled tubular surfaces using coupled curves;shape (self-)similarity and dissimilarity rating for segmentation and matching;dense 3D reconstruction with a hand-held camera;OUR-CVFH - oriented, unique and repeatable clustered viewpoint feature histogram for object recognition and 6DOF pose estimation;3D object recognition and pose estimation for multiple objects using multi-prioritized RANSAC and model updating;classification with global, local and shared features;and eye localization using the discriminative generalized Hough transform.

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Follow-Me! Conducting a Virtual Concert 12

Follow-Me! Conducting a Virtual Concert

引用

25th Annual ACM symposium on User Interface Software and Technology (UIST)

作者： Han, Seungju Kim, Jung-Bae Kim, James D. K. Samsung Adv Inst Technol Adv Media Lab Gyunggi South Korea

ISBN: (纸本)9781450315821

In this paper, we present a real-time continuous gesture recognition system for conducting a virtual concert. Our systems allow the user control over beat, by conducting four different beat-pattern gestures;tempo, by making faster or slower gestures;volume, by making larger or smaller gestures;and instrument emphasis, by directing the gestures towards specific areas of the orchestra on a large display. A recognition accuracy of up to 95% could be achieved for the conducting gestures (beat, tempo, and volume).

关键词： Gesture recognition conducting

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Interactive labeling of image segmentation hierarchies

Interactive labeling of image segmentation hierarchies

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Joint 34th symposium of the german association for pattern recognition, DAGM 2012 and 36th symposium of the Austrian association for pattern recognition, OAGM 2012

作者： Zankl, Georg Haxhimusa, Yll Ion, Adrian Pattern Recognition and Image Processing Group 186/3 Institute for Computer Aided Automation Vienna University of Technology Austria Institute of Science and Technology Austria

ISBN: (纸本)9783642327162

We study the task of interactive semantic labeling of a segmentation hierarchy. To this end we propose a framework interleaving two components: an automatic labeling step, based on a Conditional Random Field whose dependencies are defined by the inclusion tree of the segmentation hierarchy, and an interaction step that integrates incremental input from a human user. Evaluated on two distinct datasets, the proposed interactive approach efficiently integrates human interventions and illustrates the advantages of structured prediction in an interactive framework. © 2012 Springer-Verlag.

关键词： Semantics

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