Suchergebnisse - 3-D object recognition algorithm

  1. 1

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

    ISBN: 0780362977, 9780780362970
    ISSN: 1522-4880
    Veröffentlicht: 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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    Tagungsbericht
  2. 2

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

    ISSN: 1520-9210, 1941-0077
    Veröffentlicht: Piscataway IEEE 01.12.2019
    Veröffentlicht in 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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    Journal Article
  3. 3

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

    ISBN: 9780780330733, 0780330730
    Veröffentlicht: 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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    Tagungsbericht
  4. 4

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

    ISSN: 2162-237X, 2162-2388, 2162-2388
    Veröffentlicht: 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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    Journal Article
  5. 5

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

    ISSN: 0018-9294, 1558-2531
    Veröffentlicht: United States IEEE 01.07.2017
    Veröffentlicht in IEEE transactions on biomedical engineering (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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    Journal Article
  6. 6

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

    ISSN: 1729-8806, 1729-8814
    Veröffentlicht: London, England SAGE Publications 01.07.2013
    Veröffentlicht in International journal of advanced robotic systems (01.07.2013)
    “… In this paper, a new object recognition algorithm employing a curvature-based histogram is presented …”
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    Journal Article
  7. 7

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

    ISSN: 1057-7149, 1941-0042, 1941-0042
    Veröffentlicht: United States IEEE 01.04.2012
    Veröffentlicht in 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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    Journal Article
  8. 8

    Active 3-D Thermography Based on Feature-Free Registration of Thermogram Sequence and 3-D Shape Via a Single Thermal Camera von 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
    Veröffentlicht: New York IEEE 01.11.2022
    Veröffentlicht in IEEE transactions on industrial electronics (1982) (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 von Huajian Liu, Sang-Heon Lee, Chahl, Javaan Singh

    ISSN: 1530-437X, 1558-1748
    Veröffentlicht: New York IEEE 15.11.2017
    Veröffentlicht in 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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  10. 10

    3-D Object Detection for Multiframe 4-D Automotive Millimeter-Wave Radar Point Cloud von Tan, Bin, Ma, Zhixiong, Zhu, Xichan, Li, Sen, Zheng, Lianqing, Chen, Sihan, Huang, Libo, Bai, Jie

    ISSN: 1530-437X, 1558-1748
    Veröffentlicht: New York The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 01.06.2023
    Veröffentlicht in 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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    Journal Article
  11. 11

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

    ISSN: 1539-4794, 1539-4794
    Veröffentlicht: 01.09.2020
    Veröffentlicht in 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 …”
    Weitere Angaben
    Journal Article
  12. 12

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

    ISSN: 0196-2892, 1558-0644
    Veröffentlicht: New York IEEE 01.08.2020
    Veröffentlicht in IEEE transactions on geoscience and remote sensing (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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  13. 13

    LVP: Leverage Virtual Points in Multimodal Early Fusion for 3-D Object Detection von Chen, Yidong, Cai, Guorong, Song, Ziying, Liu, Zhaoliang, Zeng, Binghui, Li, Jonathan, Wang, Zongyue

    ISSN: 0196-2892, 1558-0644
    Veröffentlicht: New York IEEE 2025
    “… ), a high-performance 3-D object detector …”
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  14. 14

    GPSCO: Global Planar Structural Constraint Optimal-Based Point Cloud Registration Algorithm for Repetitive Structures von Luo, Chengwen, Li, Dong, Yang, Xuebo, Wang, Cheng, Wu, Xiaoyang, Tang, Hao

    ISSN: 0196-2892, 1558-0644
    Veröffentlicht: 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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  15. 15

    Efficient MSPSO Sampling for Object Detection and 6-D Pose Estimation in 3-D Scenes von Xing, Xuejun, Guo, Jianwei, Nan, Liangliang, Gu, Qingyi, Zhang, Xiaopeng, Yan, Dong-Ming

    ISSN: 0278-0046, 1557-9948
    Veröffentlicht: New York IEEE 01.10.2022
    Veröffentlicht in IEEE transactions on industrial electronics (1982) (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 von 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
    Veröffentlicht: 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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  17. 17

    Automatic 3-D Measurement Method for Nonuniform Moving Objects von Duan, Minghui, Jin, Yi, Chen, Huaian, Zheng, Jinjin, Zhu, Changan, Chen, Enhong

    ISSN: 0018-9456, 1557-9662
    Veröffentlicht: 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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  18. 18

    CenterPoint-SE: A Single-Stage Anchor-Free 3-D Object Detection Algorithm With Spatial Awareness Enhancement von Wang, Hai, Tao, Le, Cai, Yingfeng, Chen, Long, Li, Yicheng, Sotelo, Miguel Angel, Li, Zhixiong

    ISSN: 1524-9050, 1558-0016
    Veröffentlicht: 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 von Hu, Zhe, Han, Tao, Sun, Peigen, Pan, Jia, Manocha, Dinesh

    ISSN: 2377-3766, 2377-3766
    Veröffentlicht: Piscataway IEEE 01.10.2019
    Veröffentlicht in 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 von Guo, Dongbing, Yang, Guohui, Wang, Chunhui

    ISSN: 1530-437X, 1558-1748
    Veröffentlicht: New York IEEE 15.11.2023
    Veröffentlicht in 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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