Yazar "Mukati, Muhammad Umair" seçeneğine göre listele

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    Hybrid-sensor high-resolution light field imaging
    (Institute of Electrical and Electronics Engineers Inc., 2017) Mukati, Muhammad Umair; Güntürk, Bahadır K.
    Light field imaging is an emerging research field due to the new capabilities it brings, including post-capture refocusing, aperture control, and 3D modeling. Single-shot single-sensor light field cameras try to balance the fundamental trade-off between spatial and angular resolution. The spatial resolution achieved with such cameras is typically far from being satisfactory, limiting the extensive adoption of light field cameras. In this paper, we present a hybrid-sensor light field camera that uses minimal optical components, a regular sensor and a micro-lens array based light field sensor to produce high-spatial-resolution light field. The use of a single lens and matching image planes prevent complexities, such as occlusions, that multi-lens systems suffer from. In our experiments, we demonstrate that the proposed hybrid-sensor camera leads to improved depth estimation in addition to increase in spatial resolution.
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    Light field registration: A multi-view geometry approach
    (Institute of Electrical and Electronics Engineers Inc., 2016) Mukati, Muhammad Umair; Güntürk, Bahadır Kürşat
    Through capturing spatial and angular radiance distribution, light field cameras bring new capabilities that are not possible with conventional imaging systems. So far in the light field imaging literature, the focus has been on the theory and applications of single light field capture. The natural extension of single light field processing is the processing of light field sequences, which is likely to bring in new applications, capabilities, and enhancements. One of the first challenges of light field video processing is the registration of light field data. In this paper, we investigate light field registration through multi-view projective geometry. We utilize the regularity of the spatial and angular sampling in the light field data, and extend the methods developed for stereo vision systems to such a regular data. By merging multiple light fields, we demonstrate the extension of synthetic aperture, which results in more accurate depth estimation compared to that obtained by a single light field.
  • Küçük Resim
    Öğe
    Light field super resolution through controlled micro-shifts of light field sensor
    (Elsevier Science Bv, 2018) Mukati, Muhammad Umair; Güntürk, Bahadır Kürşat
    Light field cameras enable new capabilities, such as post-capture refocusing and aperture control, through capturing directional and spatial distribution of light rays in space. Micro-lens array based light field camera design is often preferred due to its light transmission efficiency, cost-effectiveness and compactness. One drawback of the micro-lens array based light field cameras is low spatial resolution due to the fact that a single sensor is shared to capture both spatial and angular information. To address the low spatial resolution issue, we present a light field imaging approach, where multiple light fields are captured and fused to improve the spatial resolution. For each capture, the light field sensor is shifted by a pre-determined fraction of a micro-lens size using an xy translation stage for optimal performance.