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5 results on '"Afshari, Hossein"'

3. Real-Time FPGA Implementation of Linear Blending Vision Reconstruction Algorithm Using a Spherical Light Field Camera.

Author

Afshari, Hossein, Akin, Abdulkadir, Popovic, Vladan, Schmid, Alexandre, and Leblebici, Yusuf

Abstract

A custom spherical light-field camera used as a polydioptricsystem where imagers are distributed over a spherical geometry, each having its own vision of the surrounding and distinct focal plane. The spherical light-field camera is also anomnidirectional camera which records light information fro many direction around its center. A novel linear blending technique is presented for vision reconstruction of a virtual observer located inside the spherical geometry of this camera. This blending technique improves the output quality of the reconstructed vision with respect to the ordinary stitching technique. A novel pixel gridding scheme is presented for rectangular displaying of the reconstructed vision induced from the spherical light field camera. This gridding technique preserve the correct size of objects when mapped on the spherical geometry of the Panoptic system. A hardware architecture based on FPGAs with the real-time implementation of the linear blending algorithm and the new pixel gridding scheme of the spherical light-field camera are presented along with imaging results. [ABSTRACT FROM PUBLISHER]

Published
2012
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4. A spherical multi-camera system with real-time omnidirectional video acquisition capability.

Author

Afshari, Hossein, Popovic, Vladan, Tasci, Tugce, Schmid, Alexandre, and Leblebici, Yusuf

Subjects
*OMNIRANGE system, *THREE-dimensional imaging, *SYSTEMS design, *COMPUTER architecture, *IMAGE reconstruction, *PIXELS
Abstract

A multi-camera system inspired from the visual system of flying insects is introduced which is referred to as the Panoptic camera. In the Panoptic system each camera is mounted over a hemispherical geometry and has its own vision of surrounding and distinct focal direction. The Panoptic device finds application in the area of omnidirectional vision and 3D imaging. A systematic approach is presented for the coverage analysis and design guidelines of the Panoptic device. The presented approach enables the construction of arbitrary multi-camera systems based on the Panoptic principle. An implemented hardware architecture based on FPGA is introduced which is capable of real-time omnidirectional vision reconstruction. The implemented hardware is capable of live video streaming at a rate of 6.25M pixels per second and a maximum image resolution of 32M pixels per FPGA board [ABSTRACT FROM AUTHOR]

Published
2012
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5. A Real-time Multi-aperture Omnidirectional Visual Sensor Based on Interconnected Network of Smart Cameras

Author

Seyid, Kerem, Popovic, Vladan, Cogal, Ömer, Akin, Abdulkadir, Afshari, Hossein, Schmid, Alexandre, and Leblebici, Yusuf

Subjects
Multiple Camera Systems, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Image Reconstruction, Real-Time Systems, FPGA, Camera Network
Abstract

Centralized and multi-level implementations of the Panoptic omnidirectional multiaperture visual system were previously presented by the authors, relying on transmission of all camera outputs to a single central processing node for omnidirectional image and video reconstruction. In this paper, a novel distributed and parallel implementation of the omnidirectional vision reconstruction algorithm of the Panoptic system is presented. The parallel approach aims to overcome the scalability problems and memory bandwidth limitations of the centralised approach. The real-time hardware implementation is presented for camera modules with image processing, memory and interconnectivity features. A methodology is introduced for the arrangement of camera modules with interconnectivity feature into a target interconnection network topology. A unique custom-made multiple- FPGA hardware platform is introduced for the implementation of an interconnected network of 49 camera prototype Panoptic system. A hardware architecture based on presented hardware platform enabling the real-time implementation of the blending algorithms is presented, along with the imaging results and resource utilization. The real-time implementation results of the implemented omnivision application on the aforementioned prototype are demonstrated.

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