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An Effective imaging System for 3D Detection of Occluded Objects 2021

An Effective Imaging System for 3D Detection of Occluded Obj...

引用

4th international conference on Image and graphics Processing, ICIGP 2021

作者： Ren, Jieji Ren, Mingjun Liu, Runxing Sun, Lijian Zhang, Kaile Shanghai Jiao Tong University China ArcSoft China Zhejiang Lab China Affiliated Sixth People's Hospital Shanghai Jiao Tong University China

ISBN: (纸本)9781450389105

Occluded objects detection is a challenge task in computer vision. To address this problem, this paper proposes an effective light field imaging system for occluded objects 3D detection, which integrates digital refocus methods to imaging occluded objects and deep learning based method to located objects position with defocus clues. Camera arrays based integral imaging system could provide focal stacks images, which makes occluded objects more clear and attenuates foreground occlusion. With observation that recognition probability are related to objects clarity, as well as focal length of images, recognition probability based defocus clues are proposed to located objects depth. Hierarchical object localization process is applied on refocus images stacks to coarsely located object depth by detected probabilities, following gradient based fine-grained defocus response process could further refine the depth accuracy. With the depths from defocus clues and detected locations from neural model, proposed algorithm could achieve 3D object detection under partial occlusion. Furthermore, a parallel computation framework is proposed to accelerate whole detection process. Real experiments show the robust performance of proposed 3D occluded objects detection algorithm. © 2021 ACM.

关键词： Object detection

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Proceedings of the iasted international conference on computer graphics and imaging, CGIM 2013

Proceedings of the IASTED International Conference on Comput...

引用

iasted international conference on computer graphics and imaging, CGIM 2013

The proceedings contain 22 papers. The topics discussed include: performance evaluation of infrared moving foreground segmentation without prior knowledge;graph reconstruction from drawings with crossings;parallel image segmentation using Fiedler vector;pith estimation on rough log end images using local Fourier spectrum analysis;using physical activity transition to reduce the perceived burden of interruption by mobile phones;automatic extraction of the optic disc boundary for detecting retinal diseases;the extended stereoscopic highlighting technique for node-link diagrams: an empirical study;a comparison of GPU box-plane intersection algorithms for direct volume rendering;improving anchor selection for inertial motion capture systems through weight distribution calculations;ray-triangle collision detection to approximate objects with spheres;and barcode detection with uniform partitioning and distance transformation.

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Large scale functional connectivity for brain decoding

Large scale functional connectivity for brain decoding

引用

iasted international conference on Biomedical Engineering, BioMed 2014

作者： Firat, Orhan Onal, Itir Aksan, Emre Velioglu, Burak Oztekin, Ilke Yarman Vural, Fatos T. Department of Computer Engineering Middle East Technical University Turkey Department of Psychology Koc University Turkey

Functional Magnetic Resonance imaging (fMRI) data consists of time series for each voxel recorded during a cognitive task. In order to extract useful information from this noisy and redundant data, techniques are proposed to select the voxels that are relevant to the underlying cognitive task. We propose a simple and efficient algorithm for decoding the brain states by modelling the correlation patterns between the voxel time series. For each stimulus during the experiment, a separate functional connectivity matrix is computed in voxel level. The elements in connectivity matrices are then filtered out by making use of a minimum spanning tree formed using a global connectivity matrix for the entire experiment in order to reduce dimensionality. For a recognition memory experiment with nine subjects, functional connectivity matrices are computed for encoding and retrieval phases. The class labels of the retrieval samples are predicted within a k-nearest neighbour space constructed by the traversed entries in the functional connectivity matrices for encoding samples. The proposed method is also adapted to large scale functional connectivity tasks by making use of graphics boards. Classification performance in ten categories is comparable and even better compared to both classical and enhanced methods of multi-voxel pattern analysis techniques.

关键词： Magnetic resonance imaging

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Barcode detection with uniform partitioning and distance transformation

Barcode detection with uniform partitioning and distance tra...

引用

iasted international conference on computer graphics and imaging, CGIM 2013

作者： Bodnár, Péter Nyúl, Lászlo G. Department of Image Processing and Computer Graphics University of Szeged Árpad tér 2 Szeged H-6720 Hungary

Barcode detection is required in a wide range of real-life applications. imaging conditions and techniques vary considerably and each application has its own requirements for detection speed and accuracy. In our earlier works we used uniform partitioning with several approaches for detection of various types of ID and 2D barcodes and showed their behaviour on a set of test images. In this work, we extend the partitioning idea and replace scan-line based methods with distance transformation to improve accuracy.

关键词： computer vision

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A comparison of GPU box-plane intersection algorithms for direct volume rendering

A comparison of GPU box-plane intersection algorithms for di...

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iasted international conference on computer graphics and imaging, CGIM 2013

作者： Zellmann, Stefan Lang, Ulrich Department of Computer Science University of Cologne Cologne Germany

In order to avoid load imbalances on the GPU during direct volume rendering, a common scheme was to move the generation of proxy geometry, that quite often consists of polygons retrieved through box-plane intersections, from the CPU to the vertex stage of the GPU. Nowadays, with the unified shader architectures implemented by modern graphics hardware, usually non of the programmable stages will starve anymore. Nevertheless, redistributing calculations for proxy geometry generation from the vertex stage to the newly introduced geometry stage of the graphics hardware results in some serial computations that can be performed more finely grained, thus hinting the graphics driver to schedule more tasks in parallel. We propose different implementations of box-plane intersection algorithms on the GPU that use the vertex - as well as the geometry stage and compare their performance on modern graphics hardware.

关键词： graphics processing unit

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Nonexistence of rational rotation minimizing frames on quintic helices

Nonexistence of rational rotation minimizing frames on quint...

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iasted international conference on computer graphics and imaging, CGIM 2013

作者： Sengiiler-Ciftci, Fatma Vegter, Gert Johann Bernoulli Institute for Mathematics and Computer Science University of Groningen Groningen Netherlands

Rotation minimizing frames (RMFs) have the property of minimum twist which makes them useful for computer graphics, swept surface or generalised cylinder constructions, motion design and control in computer animation and robotics, streamline visualization, and tool path planning in CAD/CAM. Recent advances in two main research topics, polynomial helices and rational rotation minimizing frame (RRMF) curves, in the theory of Pythagorean-hodograph (PH) curves let us study RRMFs on quintic helices. We first give a condition on a polynomial helix of any degree to have an RRMF, which leads a simplification of rational approximation to RMFs on monotone-helical PH quin tics. Then we prove the nonexistence of RRMFs on both general and monotone quintic helices.

关键词： Motion planning

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Graph reconstruction from drawings with crossings

Graph reconstruction from drawings with crossings

引用

iasted international conference on computer graphics and imaging, CGIM 2013

作者： Zidan, Hamdy Scheuermann, Gerik Institute of Computer Science University of Leipzig Leipzig Germany

Graphs are used for many purposes in natural sciences, social sciences, computer science, engineering, business, and media. In some cases, graphs have been drawn by computers but digital data is lost and only the printed drawing is left. Hence, the user wants to reconstruct the graph from the drawing, e.g. a UML diagram from a drawing of an older software system where the original design is only left as documentation on paper. We offer a approach based on image processing and optical character recognition (OCR) to solve a larger sub-task of this overall problem. We reconstruct the graph topology and node labels directly from the drawing and store the result in a digital graph format. Especially, we deal with crossing edges and node labels inside outside nodes.

关键词： Optical character recognition

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Sufficient conditions for topology preserving additions and general operators

Sufficient conditions for topology preserving additions and ...

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iasted international conference on computer graphics and imaging, CGIM 2013

作者： Kardos, Péter Palágyi, Kálmán Department of Image Processing and Computer Graphics University of Szeged Szeged Hungary

Topology preservation is a crucial issue of digital topology. Various applications of binary image processing rest on topology preserving operators. Earlier studies in this topic mainly concerned with reductions (i.e., operators that only delete some object points from binary images), as they form the basis for thinning algorithms. However, additions (i.e., operators that never change object points) also play important role for the purpose of generating discrete Voronoi diagrams or skeletons by influence zones (SKIZ). Furthermore, the use of general operators that may both add and delete some points to and from objects in pictures are suitable for contour smoothing. Therefore, in this paper we present some new sufficient conditions for topology preserving reductions, additions, and general operators. Two additions for 2D and 3D contour smoothing are also reported.

关键词： Binary images

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Facilitating creativity in education using constructive function-based modelling

Facilitating creativity in education using constructive func...

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iasted international conference on computer graphics and imaging, CGIM 2013

作者： Pasko, Alexander A. Adzhiev, Valery D. Malikova, Evgeniya E. Pilyugin, Victor V. NCCA The National Centre for Computer Animation Bournemouth University Poole United Kingdom National Research Nuclear University MEPhI Russia

We describe the ways in which an approach to constructive shape modelling based on the Function Representation (FRep) can be used to facilitate creative thinking in artistic and technical education. This approach assumes the use of a simple programming language or interactive software tools for creating a shape model, generating its images and finally fabricating a real object of that model. It can be considered an educational technology suitable not only for children and students but also for researchers, artists, and designers. The corresponding modelling language and software tools are being developed within an international HyperFun Project. We applied the theoretical framework and software tools on different levels of education starting from elementary schools to doctoral thesis research in various areas related to artistic design and animation, computer graphics, programming languages, software development and experimental physics. Several application case studies in various areas of art, design, and technical education from different educational institutions and countries are presented.

关键词： Modeling languages

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MVEVE: A visual programming environment for creating new visual effects

MVEVE: A visual programming environment for creating new vis...

引用

iasted international conference on computer graphics and imaging, CGIM 2013

作者： Hirai, Satoru Miyamoto, Akihiro Tokoshima, Motoshi Yamamoto, Kunio Baba, Hiromi Noma, Tsukasa Department of Creative Informatics Kyushu Institute of Technology Iizuka Fukuoka 820-8502 Japan Triart Inc. CIRD202 Iizuka Fukuoka 820-8517 Japan Department of Artificial Intelligence Kyushu Institute of Technology Iizuka Fukuoka 820-8502 Japan Department of Information and Computer Science Kinki University Iizuka Fukuoka 820-8555 Japan

This paper presents MVEVE (Modular Visual Environment for Visual Effects), a visual programming environment for creating new visual effects. For intuitive visual programming, MVEVE has several high-level data types, e.g, Im-ageList and 3D ObjectList. Processing modules in MVEVE has input and output ports of these data types, and typically performs image/video processings. Users connect input and output ports among modules, and then create new visual effects easier than conventional textural programming. Sample effects of afterimages, speedlines, and particles are presented in the paper.

关键词： Image enhancement

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