Suchergebnisse - 3-D object recognition algorithm
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An appearance based neural image processing algorithm for 3-D object recognition
ISBN: 0780362977, 9780780362970ISSN: 1522-4880Veröffentlicht: IEEE 2000Veröffentlicht in Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101) (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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Effective 3-D Shape Retrieval by Integrating Traditional Descriptors and Pointwise Convolution
ISSN: 1520-9210, 1941-0077Veröffentlicht: Piscataway IEEE 01.12.2019Veröffentlicht 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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3-D object recognition using a genetic algorithm
ISBN: 9780780330733, 0780330730Veröffentlicht: IEEE 23.12.2002Veröffentlicht in 1996 IEEE International Symposium on Circuits and Systems (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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SparseVoxNet: 3-D Object Recognition With Sparsely Aggregation of 3-D Dense Blocks
ISSN: 2162-237X, 2162-2388, 2162-2388Veröffentlicht: United States IEEE 01.01.2024Veröffentlicht in IEEE transaction on neural networks and learning systems (01.01.2024)“… Automatic recognition of 3-D objects in a 3-D model by convolutional neural network (CNN …”
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Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection
ISSN: 0018-9294, 1558-2531Veröffentlicht: United States IEEE 01.07.2017Veröffentlicht 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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Novel 3-D Object Recognition Methodology Employing a Curvature-Based Histogram
ISSN: 1729-8806, 1729-8814Veröffentlicht: London, England SAGE Publications 01.07.2013Veröffentlicht 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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Camera Constraint-Free View-Based 3-D Object Retrieval
ISSN: 1057-7149, 1941-0042, 1941-0042Veröffentlicht: United States IEEE 01.04.2012Veröffentlicht 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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Active 3-D Thermography Based on Feature-Free Registration of Thermogram Sequence and 3-D Shape Via a Single Thermal Camera
ISSN: 0278-0046, 1557-9948Veröffentlicht: New York IEEE 01.11.2022Veröffentlicht 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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A Multispectral 3-D Vision System for Invertebrate Detection on Crops
ISSN: 1530-437X, 1558-1748Veröffentlicht: New York IEEE 15.11.2017Veröffentlicht 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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3-D Object Detection for Multiframe 4-D Automotive Millimeter-Wave Radar Point Cloud
ISSN: 1530-437X, 1558-1748Veröffentlicht: New York The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 01.06.2023Veröffentlicht 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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Image-free real-time 3-D tracking of a fast-moving object using dual-pixel detection
ISSN: 1539-4794, 1539-4794Veröffentlicht: 01.09.2020Veröffentlicht 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 …”
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3-D Multistatic Ground Penetrating Radar Imaging for Augmented Reality Visualization
ISSN: 0196-2892, 1558-0644Veröffentlicht: New York IEEE 01.08.2020Veröffentlicht 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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LVP: Leverage Virtual Points in Multimodal Early Fusion for 3-D Object Detection
ISSN: 0196-2892, 1558-0644Veröffentlicht: New York IEEE 2025Veröffentlicht in IEEE transactions on geoscience and remote sensing (2025)“… ), a high-performance 3-D object detector …”
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GPSCO: Global Planar Structural Constraint Optimal-Based Point Cloud Registration Algorithm for Repetitive Structures
ISSN: 0196-2892, 1558-0644Veröffentlicht: New York IEEE 2024Veröffentlicht in IEEE transactions on geoscience and remote sensing (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
ISSN: 0278-0046, 1557-9948Veröffentlicht: New York IEEE 01.10.2022Veröffentlicht 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
ISSN: 2162-237X, 2162-2388, 2162-2388Veröffentlicht: United States IEEE 01.10.2025Veröffentlicht in IEEE transaction on neural networks and learning systems (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
ISSN: 0018-9456, 1557-9662Veröffentlicht: New York IEEE 2021Veröffentlicht in IEEE transactions on instrumentation and measurement (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
ISSN: 1524-9050, 1558-0016Veröffentlicht: New York IEEE 01.10.2023Veröffentlicht in IEEE transactions on intelligent transportation systems (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
ISSN: 2377-3766, 2377-3766Veröffentlicht: Piscataway IEEE 01.10.2019Veröffentlicht 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
ISSN: 1530-437X, 1558-1748Veröffentlicht: New York IEEE 15.11.2023Veröffentlicht 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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