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Ponencia
A 26.5 nJ/px 2.64 Mpx/s CMOS Vision Sensor for Gaussian Pyramid Extraction
(Institute of Electrical and Electronics Engineers, 2014)
This paper introduces a CMOS vision sensor to extract the Gaussian pyramid with an energy cost of 26.5 nJ/px at 2.64 Mpx/s, thus outperforming conventional solutions employing an imager and a separate digital processor. ...
Artículo
Low-Power CMOS Vision Sensor for Gaussian Pyramid Extraction
(Institute of Electrical and Electronics Engineers, 2017)
This paper introduces a CMOS vision sensor chip in a standard 0.18 μm CMOS technology for Gaussian pyramid extraction. The Gaussian pyramid provides computer vision algorithms with scale invariance, which permits having ...
Ponencia
Gaussian Pyramid Extraction with a CMOS Vision Sensor
(Institute of Electrical and Electronics Engineers, 2014)
This paper addresses a CMOS vision sensor with 176 × 120 pixels in standard 0.18 μm CMOS technology that computes the Gaussian pyramid. The Gaussian pyramid is extracted with a double-Euler switched-capacitor network, ...
Capítulo de Libro
Image Feature Extraction Acceleration
(Springer, 2016)
Image feature extraction is instrumental for most of the best-performing algorithms in computer vision. However, it is also expensive in terms of computational and memory resources for embedded systems due to the need of ...
Ponencia
Live Demonstration: Gaussian Pyramid Extraction with a CMOS Vision Sensor
(Institute of Electrical and Electronics Engineers, 2015)
This live demonstration showcases the Gaussian pyramid with a CMOS vision sensor. The chip features a 176 120 pixel array in standard 0.18 m CMOS technology. The sensing elements are designed as 3-Transistor Active Pixel ...