Real-time 2-D feature detection on a reconfigurable computer

Benedetti, A.; Perona, Pietro

doi:10.1109/cvpr.1998.698665

Cited by 63 publications

(45 citation statements)

References 2 publications

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“…Given the expressions of the wave vectors of the incident and diffracted beams , (3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14) and following a similar derivation as before, it can be easily verified that the wavelength selectivity of the hologram is given by Fig. 3-16.…”

Section: Selectivity and Image Transformationmentioning

confidence: 85%

“…Photorefractive crystals have been widely used as support for holographic data storage applications [2-20], [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21]. Unlike the other materials compared in Table 2 Among the z-cut LiNbO 3 crystals available in the laboratory, the best results have been obtained in an 8 mm thick crystal with 0.02% wt Fe that was reduced in order to increase its absorption at 633 nm.…”

Section: Lithium Niobate Crystalsmentioning

confidence: 99%

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Optically Programmable Field Programmable Gate Arrays (FPGA) Systems

Mumbru¹,

Panotopoulos²

2004

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REPORT DOCUMENTATION PAGE Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing this collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden to

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Section: Selectivity and Image Transformationmentioning

confidence: 85%

Section: Lithium Niobate Crystalsmentioning

confidence: 99%

Optically Programmable Field Programmable Gate Arrays (FPGA) Systems

Mumbru¹,

Panotopoulos²

2004

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“…With such a smart sensor, it is possible to perform basic processing and the selection of relevant features [4]. For example, FPGAs have already been used to accelerate real-time point tracking [21], stereo-vision [22], color-based object detection [23], and video and image compression [24]. In our case, the notion of a system on programmable chip (SOPC) describes the whole system.…”

Section: Hardware Description Of the ''Dreamcam''mentioning

confidence: 99%

DreamCam: A modular FPGA-based smart camera architecture

Birem

Berry

2014

Journal of Systems Architecture

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To cite this version:Merwan Birem, François Berry. DreamCam: A modular FPGA-based smart camera architecture. Journal of Systems Architecture, Elsevier, 2014, 60 (6) b s t r a c tDreamCam is a modular smart camera constructed with the use of an FPGA like main processing board. The core of the camera is an Altera Cyclone-III associated with a CMOS imager and six private Ram blocks. The main novel feature of our work consists in proposing a new smart camera architecture and several modules (IP) to efficiently extract and sort the visual features in real time. In this paper, extraction is performed by a Harris and Stephen filtering associated with customized modules. These modules extract, select and sort visual features in real-time. As a result, DreamCam (with such a configuration) provides a description of each visual feature in the form of its position and the grey-level template around it.

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“…The CNES provided reference times on Linux and Leon of the navigation chain (perception, building of the digital elevation model). The critical subsystems are the stereo and the matching, all the more so FPGA implementation of the stereo and landmark detection is possible [12]. Fast matching leads to an important saving of computation time, however it may fluctuates with matching difficulties.…”

Section: Resourcesmentioning

confidence: 99%

Centre National d’études Spatiales

2011

Encyclopedia of Astrobiology

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We present a visual odometry system for short term self localization. It targets autonomous planetary exploration in an unknown rough environment. The singularity of the method is to estimate long elementary displacements at low frequency, 0.1Hz against more than 1Hz usually. Our algorithm is evaluated in a Marslike visual environment, on short and long trajectories, as a whole and step by step. We provide preliminary characteristics of its performances that can be used to design an autonomous locomotion system.

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Real-time 2-D feature detection on a reconfigurable computer

Cited by 63 publications

References 2 publications

Optically Programmable Field Programmable Gate Arrays (FPGA) Systems

Optically Programmable Field Programmable Gate Arrays (FPGA) Systems

DreamCam: A modular FPGA-based smart camera architecture

Centre National d’études Spatiales

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