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akaturk Akademik ölçüm

OpenAlex konusu

Advanced Vision and Imaging

Bu sayfa OpenAlex konu etiketine göre çalışmaları ve o konuda görünen akademisyenleri listeler. YÖKSİS temel alan / yan dal değildir.

OpenAlex 1.781 eser 98 yazar konusu

Çalışmalar

1.781 eser

  1. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.6%

    Most commercial digital cameras use color filter arrays to sample red, green, and blue colors according to a specific pattern. At the location of each pixel only one color sample is taken, and the values of the other colors must be interpolated using neighboring samples. This color plane interpolation is known as demo…

  2. OpenAlex üst %1 OpenAlex 99.3%

    Özet henüz yok.

  3. OpenAlex üst %10 OpenAlex 97.3%

    Face images that are captured by surveillance cameras usually have a very low resolution, which significantly limits the performance of face recognition systems. In the past, super-resolution techniques have been proposed to increase the resolution by combining information from multiple images. These techniques use su…

  4. OpenAlex üst %1 OpenAlex 100.0%

    Abstract The concept of symmetry has received significant attention in computer graphics and computer vision research in recent years. Numerous methods have been proposed to find, extract, encode and exploit geometric symmetries and high‐level structural information for a wide variety of geometry processing tasks. Thi…

  5. OpenAlex üst %10 OpenAlex 98.8%

    We present a transformation-grounded image generation network for novel 3D view synthesis from a single image. Our approach first explicitly infers the parts of the geometry visible both in the input and novel views and then casts the remaining synthesis problem as image completion. Specifically, we both predict a flo…

  6. OpenAlex üst %1 OpenAlex 99.5%

    Abstract This paper describes novel implementations of the KLT feature tracking and SIFT feature extraction algorithms that run on the graphics processing unit (GPU) and is suitable for video analysis in real-time vision systems. While significant acceleration over standard CPU implementations is obtained by exploitin…

  7. OpenAlex üst %1 OpenAlex 99.7%

    Research efforts on 3DTV technology have been strengthened worldwide recently, covering the whole media processing chain from capture to display. Different 3DTV systems rely on different 3D scene representations that integrate various types of data. Efficient coding of these data is crucial for the success of 3DTV. Co…

  8. YÖKSİS OpenAlex üst %10 OpenAlex 95.3%

    In this paper we propose a vision-based stabilization and output tracking control method for a model helicopter. A novel two-camera method is introduced for estimating the full six-degrees-of-freedom pose of the helicopter. One of these cameras is located on-board the helicopter, and the other camera is located on the…

  9. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 100.0%

    Özet henüz yok.

  10. OpenAlex üst %1 OpenAlex 99.3%

    Stereo techniques have witnessed tremendous progress over the last decades, yet some aspects of the problem still remain challenging today. Striking examples are reflecting and textureless surfaces which cannot easily be recovered using traditional local regularizers. In this paper, we therefore propose to regularize…

  11. OpenAlex üst %10 OpenAlex 98.2%

    This paper proposes a deep neural network (DNN) for piece-wise planar depthmap reconstruction from a single RGB image. While DNNs have brought remarkable progress to single-image depth prediction, piece-wise planar depthmap reconstruction requires a structured geometry representation, and has been a difficult task to…

  12. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 98.6%

    We propose a distributed, real-time computing platform for tracking multiple interacting persons in motion. To combat the negative effects of occlusion and articulated motion we use a multiview implementation, where each view is first independently processed on a dedicated processor. This monocular processing uses a p…

Akademisyenler

98 akademisyen