Výsledky vyhledávání - Computational Geometry and Object Modeling Keywords

  1. 1

    A Survey on Shape Correspondence Autor van Kaick, Oliver, Zhang, Hao, Hamarneh, Ghassan, Cohen-Or, Daniel

    ISSN: 0167-7055, 1467-8659
    Vydáno: Oxford, UK Blackwell Publishing Ltd 01.09.2011
    Vydáno v Computer graphics forum (01.09.2011)
    “…We review methods designed to compute correspondences between geometric shapes represented by triangle meshes, contours or point sets. This survey is motivated…”
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    Journal Article
  2. 2

    The Concept of Modeling Packing and Covering Problems Using Modern Computational Geometry Software Autor Yakovlev, S. V.

    ISSN: 1060-0396, 1573-8337
    Vydáno: New York Springer US 01.01.2023
    Vydáno v Cybernetics and systems analysis (01.01.2023)
    “… To solve the problems, special computational geometry software libraries are used. They do not require an analytical form of the functions that describe the packing and covering conditions but allow their verification…”
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    Journal Article
  3. 3

    Modeling Coverage in Camera Networks: A Survey Autor Mavrinac, Aaron, Chen, Xiang

    ISSN: 0920-5691, 1573-1405
    Vydáno: Boston Springer US 01.01.2013
    “…Modeling the coverage of a sensor network is an important step in a number of design and optimization techniques…”
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    Journal Article
  4. 4

    Factor graph framework for semantic video indexing Autor Ramesh Naphade, M., Kozintsev, I.V., Huang, T.S.

    ISSN: 1051-8215, 1558-2205
    Vydáno: New York, NY IEEE 01.01.2002
    “…Video query by semantic keywords is one of the most challenging research issues in video data management…”
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    Journal Article
  5. 5

    A Branch-and-Bound Approach to Correspondence and Grouping Problems Autor Bazin, J., Hongdong Li, In So Kweon, Demonceaux, C., Vasseur, P., Ikeuchi, K.

    ISSN: 0162-8828, 1939-3539, 2160-9292, 1939-3539
    Vydáno: Los Alamitos, CA IEEE 01.07.2013
    “… It is a key ingredient for a wide range of vision tasks, including three-dimensional reconstruction and object recognition…”
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    Journal Article
  6. 6

    Trajectory Analysis and Semantic Region Modeling Using Nonparametric Hierarchical Bayesian Models Autor Wang, Xiaogang, Ma, Keng Teck, Ng, Gee-Wah, Grimson, W. Eric L.

    ISSN: 0920-5691, 1573-1405
    Vydáno: Boston Springer US 01.12.2011
    “… ), for unsupervised trajectory analysis and semantic region modeling in surveillance settings. In our approach, trajectories are treated as documents and observations of an object on a trajectory are treated as words in a document…”
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    Journal Article
  7. 7

    Detecting parametric objects in large scenes by Monte Carlo sampling Autor Verdié, Yannick, Lafarge, Florent

    ISSN: 0920-5691, 1573-1405
    Vydáno: Boston Springer US 01.01.2014
    “…Point processes constitute a natural extension of Markov random fields (MRF), designed to handle parametric objects…”
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    Journal Article
  8. 8

    Discriminative Models for Multi-Class Object Layout Autor Desai, Chaitanya, Ramanan, Deva, Fowlkes, Charless C.

    ISSN: 0920-5691, 1573-1405
    Vydáno: Boston Springer US 01.10.2011
    “…Many state-of-the-art approaches for object recognition reduce the problem to a 0-1 classification task…”
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    Journal Article
  9. 9

    From Images to Shape Models for Object Detection Autor Ferrari, Vittorio, Jurie, Frederic, Schmid, Cordelia

    ISSN: 0920-5691, 1573-1405
    Vydáno: Boston Springer US 01.05.2010
    “…We present an object class detection approach which fully integrates the complementary strengths offered by shape matchers…”
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    Journal Article
  10. 10

    PWP3D: Real-Time Segmentation and Tracking of 3D Objects Autor Prisacariu, Victor A., Reid, Ian D.

    ISSN: 0920-5691, 1573-1405
    Vydáno: Boston Springer US 01.07.2012
    “…-wise posterior membership probabilities (as opposed to likelihoods). We derive the differentials of this energy with respect to the pose parameters of the 3D object…”
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  11. 11

    Stel Component Analysis: Joint Segmentation, Modeling and Recognition of Objects Classes Autor Perina, Alessandro, Jojic, Nebojsa, Cristani, Marco, Murino, Vittorio

    ISSN: 0920-5691, 1573-1405
    Vydáno: Boston Springer US 01.12.2012
    “… as “stel models.” Their main characteristic is to segment objects in clear, often semantic, parts as a consequence of the modeling constraint which forces the regions belonging to a single segment to have a…”
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  12. 12

    A Computational Learning Theory of Active Object Recognition Under Uncertainty Autor Andreopoulos, Alexander, Tsotsos, John K.

    ISSN: 0920-5691, 1573-1405
    Vydáno: Boston Springer US 01.01.2013
    “… computational resources and a search cost constraint. We present a number of bounds relating the noise-rate of low level feature detection to the VC-dimension of an object representable by an architecture satisfying the given computational constraints…”
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    Journal Article
  13. 13

    Weakly Supervised Localization and Learning with Generic Knowledge Autor Deselaers, Thomas, Alexe, Bogdan, Ferrari, Vittorio

    ISSN: 0920-5691, 1573-1405
    Vydáno: Boston Springer US 01.12.2012
    “…Learning a new object class from cluttered training images is very challenging when the location of object instances is unknown, i.e…”
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  14. 14

    Scale and Object Aware Image Thumbnailing Autor Sun, Jin, Ling, Haibin

    ISSN: 0920-5691, 1573-1405
    Vydáno: Boston Springer US 01.09.2013
    “…, object completeness and local structure smoothness. To address these issues, we propose a new thumbnailing framework named scale and object aware thumbnailing (SOAT…”
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  15. 15

    Shape-Based Object Detection via Boundary Structure Segmentation Autor Toshev, Alexander, Taskar, Ben, Daniilidis, Kostas

    ISSN: 0920-5691, 1573-1405
    Vydáno: Boston Springer US 01.09.2012
    “…We address the problem of object detection and segmentation using global holistic properties of object shape…”
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    Journal Article
  16. 16

    Time-Delayed Correlation Analysis for Multi-Camera Activity Understanding Autor Loy, Chen Change, Xiang, Tao, Gong, Shaogang

    ISSN: 0920-5691, 1573-1405
    Vydáno: Boston Springer US 01.10.2010
    “… In our approach, each camera view is first decomposed automatically into regions based on the correlation of object dynamics across different spatial locations in all camera views…”
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  17. 17

    Reduced Analytic Dependency Modeling: Robust Fusion for Visual Recognition Autor Ma, Andy J., Yuen, Pong C.

    ISSN: 0920-5691, 1573-1405
    Vydáno: Boston Springer US 01.09.2014
    “…This paper addresses the robustness issue of information fusion for visual recognition. Analyzing limitations in existing fusion methods, we discover two key…”
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  18. 18

    Skin Cancer Detection Using Semi-Unsupervised Deep Learning in Generative Adversarial Networks: A Study on Melanoma Detection Autor Nhat Tran, Quang, Kakarndee, Sirirat, Suo, Lu, Jiraruttrakul, Russarin, Nuchitprasitchai, Siranee

    Vydáno: IEEE 24.08.2023
    “… While various deep learning techniques, including object detection and supervised learning utilizing frameworks such as Visual Geometry Group Neural Network (VGGNet…”
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  19. 19

    Video Behaviour Mining Using a Dynamic Topic Model Autor Hospedales, Timothy, Gong, Shaogang, Xiang, Tao

    ISSN: 0920-5691, 1573-1405
    Vydáno: Boston Springer US 01.07.2012
    “… This task is especially challenging due to the complexity of the object behaviors to be profiled, the difficulty of analysis under the visual occlusions and ambiguities common in public space video…”
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  20. 20

    Harmony Potentials: Fusing Global and Local Scale for Semantic Image Segmentation Autor Boix, Xavier, Gonfaus, Josep M., van de Weijer, Joost, Bagdanov, Andrew D., Serrat, Joan, Gonzàlez, Jordi

    ISSN: 0920-5691, 1573-1405
    Vydáno: Boston Springer US 01.01.2012
    “…The Hierarchical Conditional Random Field (HCRF) model have been successfully applied to a number of image labeling problems, including image segmentation…”
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