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Night vision

About: Night vision is a research topic. Over the lifetime, 6004 publications have been published within this topic receiving 67372 citations.


Papers
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Journal ArticleDOI
06 Oct 2011-Neuron
TL;DR: The findings expand the role of dopamine in vision from its well-established function of suppressing rod-driven signals in bright light to enhancing the same signals under dim illumination, thereby complementing GABA's traditional role in providing dynamic feedforward and feedback inhibition in the retina.

94 citations

Patent
26 Aug 1996
TL;DR: In this article, a low cost night vision system for use in connection with law enforcement vehicles, marine vessels, and other non-military surface vehicles is described, which includes a night vision camera having an array of uncooled detectors.
Abstract: A low cost night vision system for use in connection with law enforcement vehicles, marine vessels, and other nonmilitary surface vehicles. The invention includes a night vision camera having an array of uncooled detectors. A mechanism is provided for adjusting the pointing angle of the night vision camera in response to scan control signals. Output signals from the uncooled detectors are further processed into a standard video format and displayed on a conventional display located, for example, within a vehicle or marine vessel.

94 citations

Journal ArticleDOI
TL;DR: Two new techniques are introduced for this task for night vision, namely a two-stage method for stereo correspondence and motion detection without explicit ego-motion calculation and characteristics of night-vision video data, in which humans appear as hotspots.
Abstract: A method is presented for pedestrian detection using a stereo night-vision system installed on the vehicle. Much of the work in this area makes use of shape information. The proposed method detects moving objects whose motions are not consistent with the movement of the background and is considered to be complementary to shape-based approaches. In this paper, two new techniques are introduced for this task for night vision, namely a two-stage method for stereo correspondence and motion detection without explicit ego-motion calculation. These techniques make use of characteristics of night-vision video data, in which humans appear as hotspots. This method works well in cases where the camera motion has a dominant translational motion with a small amount of rotational motion, which is suitable for the camera on the vehicle. Error analysis as well as experimental results are presented to validate our approach and comparisons have been carried out between our approach and frame-by-frame based pattern-recognition approaches.

93 citations

Journal ArticleDOI
TL;DR: Interaction of RGS proteins with orphan GPCRs promotes signaling compartmentalization and specificity and increases the likelihood of drug-like properties in response to EMTs.
Abstract: The extent and temporal characteristics of G protein–coupled receptor (GPCR) signaling are shaped by the regulator of G protein signaling (RGS) proteins, which promote G protein deactivation. With hundreds of GPCRs and dozens of RGS proteins, compartmentalization plays a key role in establishing signaling specificity. However, the molecular details and mechanisms of this process are poorly understood. In this paper, we report that the R7 group of RGS regulators is controlled by interaction with two previously uncharacterized orphan GPCRs: GPR158 and GPR179. We show that GPR158/179 recruited RGS complexes to the plasma membrane and augmented their ability to regulate GPCR signaling. The loss of GPR179 in a mouse model of night blindness prevented targeting of RGS to the postsynaptic compartment of bipolar neurons in the retina, illuminating the role of GPR179 in night vision. We propose that the interaction of RGS proteins with orphan GPCRs promotes signaling selectivity in G protein pathways.

93 citations

Proceedings ArticleDOI
25 Mar 2012
TL;DR: It is demonstrated that for the task of image denoising, nearly state-of-the-art results can be achieved using small dictionaries only, provided that they are learned directly from the noisy image.
Abstract: Photon limitations arise in spectral imaging, nuclear medicine, astronomy and night vision. The Poisson distribution used to model this noise has variance equal to its mean so blind application of standard noise removals methods yields significant artifacts. Recently, overcomplete dictionaries combined with sparse learning techniques have become extremely popular in image reconstruction. The aim of the present work is to demonstrate that for the task of image denoising, nearly state-of-the-art results can be achieved using small dictionaries only, provided that they are learned directly from the noisy image. To this end, we introduce patch-based denoising algorithms which perform an adaptation of PCA (Principal Component Analysis) for Poisson noise. We carry out a comprehensive empirical evaluation of the performance of our algorithms in terms of accuracy when the photon count is really low. The results reveal that, despite its simplicity, PCA-flavored denoising appears to be competitive with other state-of-the-art denoising algorithms.

92 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202311
202244
2021132
2020170
2019256
2018272