Search Results - "Loghman, Maziar"

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  1. 1

    Real-Time Refinement of Kinect Depth Maps using Multi-Resolution Anisotropic Diffusion by Vijayanagar, Krishna Rao, Loghman, Maziar, Kim, Joohee

    Published in Mobile networks and applications (01-06-2014)
    “…In this paper, we present a novel real-time algorithm to refine depth maps generated by low-cost commercial depth sensors like the Microsoft Kinect. The Kinect…”
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    Journal Article
  2. 2

    Segmentation-based view synthesis for multi-view video plus depth by Loghman, Maziar, Kim, Joohee

    Published in Multimedia tools and applications (01-03-2015)
    “…In this paper, we present a novel view synthesis algorithm for three-dimensional video. The proposed algorithm is based on segmentation using multi-level…”
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    Journal Article
  3. 3

    Fast depth estimation using semi-global matching and adaptive stripe-based optimization by Loghman, Maziar, Kim, Joohee, Choi, Kyuwon

    Published in The Journal of supercomputing (01-08-2018)
    “…Depth estimation is one of the essential components in many computer vision applications such as 3D scene reconstruction and stereo-based object detection. In…”
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    Journal Article
  4. 4
  5. 5

    Stereo-based depth map processing: Estimation and refinement by Loghman, Maziar

    Published 01-01-2016
    “…During the past decade, research in 3D video has become a hot topic owing to advancements in both hardware and software. Amongst different methods proposed for…”
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    Dissertation
  6. 6

    Feature-based ROI generation for stereo-based pedestrian detection by Mesmakhosroshahi, Maral, Loghman, Maziar, Joohee Kim

    “…Region of interest (ROI) generation is an important step in stereo-based pedestrian detection systems. In this paper, we propose an ROI generation method by…”
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    Conference Proceeding
  7. 7

    SGM-based dense disparity estimation using adaptive Census transform by Loghman, Maziar, Joohee Kim

    “…Generating an accurate and dense disparity image is one of the important requirements for many applications such as 3D video and stereo vision-based advanced…”
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    Conference Proceeding
  8. 8

    Refinement of depth maps generated by low-cost depth sensors by Vijayanagar, K. R., Loghman, M., Joohee Kim

    “…With the introduction of the Microsoft Kinect into the gaming industry and release of Kinect-based application development kits, a whole new industry has…”
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    Conference Proceeding
  9. 9

    Implementation of Hybrid MC/DCT video codec by Norouzi, Mandana, Loghman, Maziar, Joohee Kim

    “…The development of multimedia systems, which can handle voice and video, is fast growing. Image and video capacity are the essential components of a multimedia…”
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    Conference Proceeding
  10. 10

    Depth map estimation using modified Census transform and semi-global matching by Loghman, Maziar, Kwang-Hoon Chung, Yunsik Lee, Joohee Kim

    “…Generating a dense disparity image is one of the essential prerequisite for many applications such as rendering virtual views, 3D scene reconstruction, and…”
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    Conference Proceeding
  11. 11

    Fast stereo matching using adaptive stripe-based optimization by Loghman, Maziar, Kwang-Hoon Chung, Joohee Kim

    “…Stereo-based advanced driver assistance systems have become more popular because stereovision enables to obtain a three-dimensional (3-D) representation of the…”
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    Conference Proceeding
  12. 12

    A novel depth estimation method for uncalibrated stereo images by Loghman, Maziar, Zarshenas, Amin, Kwang-Hoon Chung, Yunsik Lee, Joohee Kim

    “…In this paper, a depth map estimation algorithm that performs stereo matching without explicit image rectification has been proposed. In the proposed method,…”
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    Conference Proceeding
  13. 13

    Segmentation-based view synthesis for three-dimensional video by Loghman, M., Joohee Kim

    “…This paper investigates the use of segmentation in view synthesis for three-dimensional video. View synthesis is the process of generating novel views of a…”
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    Conference Proceeding