[HTML][HTML] Hybrid optical-electronic convolutional neural networks with optimized diffractive optics for image classification
Convolutional neural networks (CNNs) excel in a wide variety of computer vision
applications, but their high performance also comes at a high computational cost. Despite …
applications, but their high performance also comes at a high computational cost. Despite …
A general-purpose processor-per-pixel analog SIMD vision chip
A smart-sensor VLSI circuit suitable for focal-plane low-level image processing applications
is presented. The architecture of the device is based on a fine-grain software-programmable …
is presented. The architecture of the device is based on a fine-grain software-programmable …
ASP vision: Optically computing the first layer of convolutional neural networks using angle sensitive pixels
Deep learning using convolutional neural networks (CNNs) is quickly becoming the state-of-
the-art for challenging computer vision applications. However, deep learning's power …
the-art for challenging computer vision applications. However, deep learning's power …
Residual interpolation for division of focal plane polarization image sensors
Division of focal plane (DoFP) polarization image sensors capture polarization properties of
light at every imaging frame. However, these imaging sensors capture only partial …
light at every imaging frame. However, these imaging sensors capture only partial …
Fabrication of a dual-tier thin film micropolarization array
A thin film polarization filter has been patterned and etched using reactive ion etching (RIE)
in order to create 8 by 8 microns square periodic structures. The micropolarization filters …
in order to create 8 by 8 microns square periodic structures. The micropolarization filters …
Neuromorphic implementation of orientation hypercolumns
Neurons in the mammalian primary visual cortex are selective along multiple stimulus
dimensions, including retinal position, spatial frequency, and orientation. Neurons tuned to …
dimensions, including retinal position, spatial frequency, and orientation. Neurons tuned to …
Focal-plane algorithmically-multiplying CMOS computational image sensor
The CMOS image sensor computes two-dimensional convolution of video frames with a
programmable digital kernel of up to 8 times 8 pixels in parallel directly on the focal plane …
programmable digital kernel of up to 8 times 8 pixels in parallel directly on the focal plane …
Matia: a programmable 80/spl mu/w/frame cmos block matrix transform imager architecture
In this paper, we introduce our CMOS block MAtrix Transform Imager Architecture (MATIA).
This imager is capable of performing programmable matrix operations on an image. The …
This imager is capable of performing programmable matrix operations on an image. The …
A CMOS image sensor with programmable pixel-level analog processing
A prototype of a 34/spl times/34 pixel image sensor, implementing real-time analog image
processing, is presented. Edge detection, motion detection, image amplification, and …
processing, is presented. Edge detection, motion detection, image amplification, and …
An analog sub-miliwatt CMOS image sensor with pixel-level convolution processing
W Jendernalik, G Blakiewicz, J Jakusz… - … on Circuits and …, 2013 - ieeexplore.ieee.org
A new approach to an analog ultra-low power medium-resolution vision chip design is
presented. The prototype chip performs low-level image processing algorithms in real time …
presented. The prototype chip performs low-level image processing algorithms in real time …