Publications related to Feature Detection and Tracking with the Dynamic and Active-pixel Vision Sensor (DAVIS)

Event-based Vision: A Survey

Event cameras are bio-inspired sensors that work radically different from traditional cameras. Instead of capturing images at a fixed rate, they measure per-pixel brightness changes asynchronously. This results in a stream of events, which encode the time, ...

2019

Learning an event sequence embedding for event-based deep stereo

François Fleuret, Stepan Tulyakov, Michael Hirsch

Today, a frame-based camera is the sensor of choice for machine vision applications. However, these cameras, originally developed for acquisition of static images rather than for sensing of dynamic uncontrolled visual environments, suffer from high power c ...

IEEE2019

Event-Based Motion Segmentation by Motion Compensation

Davide Scaramuzza

In contrast to traditional cameras, whose pixels have a common exposure time, event-based cameras are novel bio-inspired sensors whose pixels work independently and asynchronously output intensity changes (called "events"), with microsecond resolution. Sin ...

2019

Full SPICE Simulation of a CMOS Active Pixel Sensor with Generalized Devices

Jean-Michel Sallese, Chiara Rossi

We present SPICE simulations of a CMOS APS pixel element consisting of the optical sensor and the circuit. The photodiode is simulated at the physics level by means of the so-called generalized devices, without any predefined compact model. Conversely, reg ...

IEEE2019

A Modular, Direct Time-of-Flight Depth Sensor in 45/65-nm 3-D-Stacked CMOS Technology

Edoardo Charbon, Myung Jae Lee, Preethi Padmanabhan, Augusto Ronchini Ximenes

This article introduces a modular, direct time-of-flight (TOF) depth sensor. Each module is digitally synthesized and features a 2

\times

(8

\times

8) single-photon avalanche diode (SPAD) pixel array, an edge-sensitive decision tree, a shared time-to ...

2019

Gravity as a Reference for Estimating a Person's Height from Video

Pascal Fua, Helge Jochen Rhodin, Semih Günel, Didier Bieler

Estimating the metric height of a person from monocular imagery without additional assumptions is ill-posed. Existing solutions either require manual calibration of ground plane and camera geometry, special cameras, or reference objects of known size. We f ...

IEEE2019

A 30-frames/s, 252 x 144 SPAD Flash LiDAR With 1728 Dual-Clock 48.8-ps TDCs, and Pixel-Wise Integrated Histogramming

Edoardo Charbon, Ivan Michel Antolovic, Chunmin Zhang, Scott Anthony Lindner, Juan Mata Pavia, Martin Wolf

A 252 x 144 single-photon avalanche diode (SPAD) pixel sensor, called Ocelot, is reported for light detection and ranging (LiDAR). The sensor, fabricated in the 180-nm CMOS technology, features 1728 12-bit time-to-digital converters (TDCs) with 48.8-ps res ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2019

Smart Camera Architectures for Wireless and Multi-Sensor Vision Applications

Selman Ergünay

Advances in camera sensor technology and its manufacturing process now allow high quality image acquisition with low-cost devices. Moreover, the latest significant increase in computational capacity of the processing units enables incorporation of more com ...

EPFL2018

Hardware Implementation of a Smart Camera with Keypoint Detection and Description

Selman Ergünay, Yusuf Leblebici

Feature detection and description constitute important steps of many computer vision applications such as object detection and panorama stitching. Since those steps are computationally heavy, they might occupy significant portion of the full operation. Alt ...

IEEE2018

Contactless Respiration Monitoring in Real-Time via a Video Camera

Alia Lemkaddem, Olivier Grossenbacher

Until today, vital signs monitoring in neonatal intensive care units (NICUs) is based on wired sensors, known to cause discomfort and false alarms. In view of overcoming such issues we investigate a contactless method for respiration monitoring by means of ...

SPRINGER-VERLAG SINGAPORE PTE LTD2018

Feature Detection and Tracking with the Dynamic and Active-pixel Vision Sensor (DAVIS)

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Event-based Vision: A Survey

Learning an event sequence embedding for event-based deep stereo

Event-Based Motion Segmentation by Motion Compensation

Full SPICE Simulation of a CMOS Active Pixel Sensor with Generalized Devices

A Modular, Direct Time-of-Flight Depth Sensor in 45/65-nm 3-D-Stacked CMOS Technology

Gravity as a Reference for Estimating a Person's Height from Video

A 30-frames/s, 252 x 144 SPAD Flash LiDAR With 1728 Dual-Clock 48.8-ps TDCs, and Pixel-Wise Integrated Histogramming

Smart Camera Architectures for Wireless and Multi-Sensor Vision Applications

Hardware Implementation of a Smart Camera with Keypoint Detection and Description

Contactless Respiration Monitoring in Real-Time via a Video Camera

Event-based Vision: A Survey

Gravity as a Reference for Estimating a Person's Height from Video

A 30-frames/s, 252 x 144 SPAD Flash LiDAR With 1728 Dual-Clock 48.8-ps TDCs, and Pixel-Wise Integrated Histogramming

Learning an event sequence embedding for event-based deep stereo

Event-Based Motion Segmentation by Motion Compensation

Smart Camera Architectures for Wireless and Multi-Sensor Vision Applications

Full SPICE Simulation of a CMOS Active Pixel Sensor with Generalized Devices

Contactless Respiration Monitoring in Real-Time via a Video Camera

A Modular, Direct Time-of-Flight Depth Sensor in 45/65-nm 3-D-Stacked CMOS Technology

Hardware Implementation of a Smart Camera with Keypoint Detection and Description