Výsledky vyhledávání - 3-D object recognition algorithm

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  1. 1

    An appearance based neural image processing algorithm for 3-D object recognition Autor Chunrong Yuan, Niemann, H.

    ISBN: 0780362977, 9780780362970
    ISSN: 1522-4880
    Vydáno: IEEE 2000
    “…We propose an appearance based neural image processing algorithm for the recognition of 3-D objects with arbitrary pose in a 2-D image…”
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  2. 2

    Effective 3-D Shape Retrieval by Integrating Traditional Descriptors and Pointwise Convolution Autor Kuang, Zhenzhong, Yu, Jun, Zhu, Suguo, Li, Zongmin, Fan, Jianping

    ISSN: 1520-9210, 1941-0077
    Vydáno: Piscataway IEEE 01.12.2019
    Vydáno v IEEE transactions on multimedia (01.12.2019)
    “… To improve the performance of 3-D object (shape) recognition, some recent algorithms prefer using complicated deep neural networks to learn discriminative features, but they consume huge amounts of computing resources…”
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  3. 3

    3-D object recognition using a genetic algorithm Autor Kawaguchi, T., Baba, T.

    ISBN: 9780780330733, 0780330730
    Vydáno: IEEE 23.12.2002
    “… As a result, the approach requires long time for the recognition of such objects. In this paper we present a 3-D object recognition algorithm based on the multiple-view…”
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  4. 4

    SparseVoxNet: 3-D Object Recognition With Sparsely Aggregation of 3-D Dense Blocks Autor Karambakhsh, Ahmad, Sheng, Bin, Li, Ping, Li, Huating, Kim, Jinman, Jung, Younhyun, Chen, C. L. Philip

    ISSN: 2162-237X, 2162-2388, 2162-2388
    Vydáno: United States IEEE 01.01.2024
    “…Automatic recognition of 3-D objects in a 3-D model by convolutional neural network (CNN…”
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  5. 5

    Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection Autor Dou, Qi, Chen, Hao, Yu, Lequan, Qin, Jing, Heng, Pheng-Ann

    ISSN: 0018-9294, 1558-2531
    Vydáno: United States IEEE 01.07.2017
    “…: We propose a novel method employing three-dimensional (3-D) convolutional neural networks (CNNs) for false positive reduction in automated pulmonary nodule detection from volumetric computed tomography…”
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  6. 6

    Novel 3-D Object Recognition Methodology Employing a Curvature-Based Histogram Autor Chen, Liang-Chia, Hai, Hoang Hong, Nguyen, Xuan-Loc, Wu, Hsiao-Wen

    ISSN: 1729-8806, 1729-8814
    Vydáno: London, England SAGE Publications 01.07.2013
    “…In this paper, a new object recognition algorithm employing a curvature-based histogram is presented…”
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  7. 7

    Camera Constraint-Free View-Based 3-D Object Retrieval Autor Yue Gao, Jinhui Tang, Hong, Richang, Shuicheng Yan, Qionghai Dai, Naiyao Zhang, Tat-Seng Chua

    ISSN: 1057-7149, 1941-0042, 1941-0042
    Vydáno: United States IEEE 01.04.2012
    Vydáno v IEEE transactions on image processing (01.04.2012)
    “…) 3-D object retrieval algorithm is proposed in this paper. In this framework, each object is represented by a free set of views, which means that these views can be captured from any direction without camera constraint…”
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  8. 8

    Active 3-D Thermography Based on Feature-Free Registration of Thermogram Sequence and 3-D Shape Via a Single Thermal Camera Autor Deng, Baoyuan, Wu, Wentao, Li, Xiang, Wang, Hongjin, He, Yunze, Shen, Guoji, Tang, Yongpeng, Zhou, Ke, Zhang, Zhenjun, Wang, Yaonan

    ISSN: 0278-0046, 1557-9948
    Vydáno: New York IEEE 01.11.2022
    “… However, conventional 3-D thermography acquires thermographic information and 3-D shape through at least two independent sensors and requires complex cross-modal image registration algorithm based…”
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  9. 9

    A Multispectral 3-D Vision System for Invertebrate Detection on Crops Autor Huajian Liu, Sang-Heon Lee, Chahl, Javaan Singh

    ISSN: 1530-437X, 1558-1748
    Vydáno: New York IEEE 15.11.2017
    Vydáno v IEEE sensors journal (15.11.2017)
    “…) object representations are being intensively studied for multiview object recognition and scene understanding in many fields…”
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    3-D Object Detection for Multiframe 4-D Automotive Millimeter-Wave Radar Point Cloud Autor Tan, Bin, Ma, Zhixiong, Zhu, Xichan, Li, Sen, Zheng, Lianqing, Chen, Sihan, Huang, Libo, Bai, Jie

    ISSN: 1530-437X, 1558-1748
    Vydáno: New York The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 01.06.2023
    Vydáno v IEEE sensors journal (01.06.2023)
    “… Existing 3-D object point-cloud-detection algorithms are mostly based on 3-D LiDAR; these methods are not necessarily applicable to millimeter-wave radars, which have sparser data and more noise and include velocity information…”
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  11. 11

    Image-free real-time 3-D tracking of a fast-moving object using dual-pixel detection Autor Deng, Qiwen, Zhang, Zibang, Zhong, Jingang

    ISSN: 1539-4794, 1539-4794
    Vydáno: 01.09.2020
    Vydáno v Optics letters (01.09.2020)
    “…Real-time 3-D tracking of a fast-moving object has found important applications in industry, traffic control, sports, biomedicine, defense, etc…”
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  12. 12

    3-D Multistatic Ground Penetrating Radar Imaging for Augmented Reality Visualization Autor Pereira, Mauricio, Burns, Dylan, Orfeo, Daniel, Zhang, Yu, Jiao, Liangbao, Huston, Dryver, Xia, Tian

    ISSN: 0196-2892, 1558-0644
    Vydáno: New York IEEE 01.08.2020
    “… metallic and nonmetallic buried objects. For instance, air-coupled, multistatic GPR could potentially be employed to quickly produce subsurface maps for public and private stakeholders, enabling rational and more efficient planning…”
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    GPSCO: Global Planar Structural Constraint Optimal-Based Point Cloud Registration Algorithm for Repetitive Structures Autor Luo, Chengwen, Li, Dong, Yang, Xuebo, Wang, Cheng, Wu, Xiaoyang, Tang, Hao

    ISSN: 0196-2892, 1558-0644
    Vydáno: New York IEEE 2024
    “…3-D point cloud registration is a prerequisite for scene reconstruction and 3-D object recognition in computer vision and remote sensing…”
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    Efficient MSPSO Sampling for Object Detection and 6-D Pose Estimation in 3-D Scenes Autor Xing, Xuejun, Guo, Jianwei, Nan, Liangliang, Gu, Qingyi, Zhang, Xiaopeng, Yan, Dong-Ming

    ISSN: 0278-0046, 1557-9948
    Vydáno: New York IEEE 01.10.2022
    “… The key to the success of PPF matching is to establish correct 3-D correspondences between the object and the scene, i.e…”
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    MonOri: Orientation-Guided PnP for Monocular 3-D Object Detection Autor Yao, Hongdou, Han, Pengfei, Chen, Jun, Wang, Zheng, Qiu, Yansheng, Wang, Xiao, wang, Yimin, Chai, Xiaoyu, Cao, Chenglong, Jin, Wei

    ISSN: 2162-237X, 2162-2388, 2162-2388
    Vydáno: United States IEEE 01.10.2025
    “…Monocular 3-D object detection is a challenging task in the field of autonomous driving and has made great progress…”
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    Automatic 3-D Measurement Method for Nonuniform Moving Objects Autor Duan, Minghui, Jin, Yi, Chen, Huaian, Zheng, Jinjin, Zhu, Changan, Chen, Enhong

    ISSN: 0018-9456, 1557-9662
    Vydáno: New York IEEE 2021
    “…Phase-shifting profilometry (PSP) via sequential fringe projection is applicable for high-accuracy 3-D measurements of static objects…”
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    CenterPoint-SE: A Single-Stage Anchor-Free 3-D Object Detection Algorithm With Spatial Awareness Enhancement Autor Wang, Hai, Tao, Le, Cai, Yingfeng, Chen, Long, Li, Yicheng, Sotelo, Miguel Angel, Li, Zhixiong

    ISSN: 1524-9050, 1558-0016
    Vydáno: New York IEEE 01.10.2023
    “… However, the existing second-stage anchor-based 3-D object detection algorithms have high accuracy, but they are challenging in terms of computation complexity and latency…”
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    3-D Deformable Object Manipulation Using Deep Neural Networks Autor Hu, Zhe, Han, Tao, Sun, Peigen, Pan, Jia, Manocha, Dinesh

    ISSN: 2377-3766, 2377-3766
    Vydáno: Piscataway IEEE 01.10.2019
    Vydáno v IEEE robotics and automation letters (01.10.2019)
    “…Due to its high dimensionality, deformable object manipulation is a challenging problem in robotics…”
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    PillarNet++: Pillar-Based 3-D Object Detection With Multiattention Autor Guo, Dongbing, Yang, Guohui, Wang, Chunhui

    ISSN: 1530-437X, 1558-1748
    Vydáno: New York IEEE 15.11.2023
    Vydáno v IEEE sensors journal (15.11.2023)
    “…Light detection and ranging (LiDAR)-based 3-D object detection constitutes a fundamental component of autonomous driving technology…”
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