Projects per year
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 language | English |
---|---|
Pages (from-to) | 925-934 |
Journal | IEEE Transactions on Circuits and Systems I: Regular Papers |
Volume | 65 |
Issue number | 3 |
Early online date | 18 Oct 2017 |
DOIs | |
Publication status | Published - 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.Projects
- 1 Finished
-
An integrated vision and Control Architecture for Agile Robotic Exploration
Dudek, P. (PI)
1/09/15 → 31/08/19
Project: Research