Real-Time Depth From Focus on a Programmable Focal Plane Processor

Julien N.P. Martel, Lorenz K. Muller, Stephen J. Carey, Jonathan Muller, Yulia Sandamirskaya, Piotr Dudek

    Research output: Contribution to journalArticlepeer-review

    228 Downloads (Pure)

    Abstract

    Visual input can be used to recover the 3-D structure of a scene by estimating distances (depth) to the observer. Depth estimation is performed in various applications, such as robotics, autonomous driving, or surveillance. We present a low-power, compact, passive, and static imaging system that computes a semi-dense depth map in real time for a wide range of depths. This is achieved by using a focus-tunable liquid lens to sweep the optical power of the system at a high frequency, computing depth from focus on a mixed-signal programmable focal-plane processor. The use of local and highly parallel process- ing directly on the focal plane removes the sensor-processor bandwidth limitations typical in conventional imaging and processor technologies and allows real-time performance to be achieved.

    Original languageEnglish
    Pages (from-to)925-934
    JournalIEEE Transactions on Circuits and Systems I: Regular Papers
    Volume65
    Issue number3
    Early online date18 Oct 2017
    DOIs
    Publication statusPublished - Mar 2018

    Keywords

    • Apertures
    • Cameras
    • Depth from focus
    • focal plane processing.
    • Lenses
    • Optical imaging
    • Optical sensors
    • tunable lens
    • vision-chip

    Fingerprint

    Dive into the research topics of 'Real-Time Depth From Focus on a Programmable Focal Plane Processor'. Together they form a unique fingerprint.

    Cite this