Publication

Real Time Implementation of the Omnidirectional Vision Construction Algorithm of the Panoptic Camera

2011
Student Projects

Résumé

The visual system of the flying insects is the source of inspiration for the presented hardware vision system. The faceted eyes of a common fly provide it with omnidirectional vision, egomotion and depth estimation. Utilizing the concept of faceted eyes, an omnidirectional camera is realized by layering CMOS image sensors over the surface of a hemispherical structure. This system is referred to as the Panoptic camera and it has two distinguished features. First, it is an omnidirectional camera capable of recording light information from any direction around its center. Second, it is a polydioptric system where each CMOS facet consists of a CMOS camera with a distinct focal plane; hence the full system is a multiple aperture camera.

Source officielle

https://infoscience.epfl.ch/entities/publication/a7adc33c-0348-4199-9d20-46e5d29886f2

À propos de ce résultat

Cette page est générée automatiquement et peut contenir des informations qui ne sont pas correctes, complètes, à jour ou pertinentes par rapport à votre recherche. Il en va de même pour toutes les autres pages de ce site. Veillez à vérifier les informations auprès des sources officielles de l'EPFL.

Graph Chat

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

2011
Student Projects

Résumé

Source officielle

https://infoscience.epfl.ch/entities/publication/a7adc33c-0348-4199-9d20-46e5d29886f2

À propos de ce résultat

Concepts associés (32)

Active-pixel sensor

An active-pixel sensor (APS) is an , which was invented by Peter J.W. Noble in 1968, where each pixel sensor unit cell has a photodetector (typically a pinned photodiode) and one or more active transistors. In a metal–oxide–semiconductor (MOS) active-pixel sensor, MOS field-effect transistors (MOSFETs) are used as amplifiers. There are different types of APS, including the early NMOS APS and the now much more common complementary MOS (CMOS) APS, also known as the CMOS sensor.

Appareil photographique numérique

Un appareil photographique numérique (ou APN) est un appareil photographique qui recueille la lumière sur un capteur photographique électronique, plutôt que sur une pellicule photographique, et qui convertit l'information reçue par ce support pour la coder numériquement. Un appareil photo numérique utilise un capteur CCD ou CMOS pour acquérir les images, et les enregistre habituellement sur des cartes mémoire (CompactFlash, SmartMedia, Memory Stick, Secure Digital, etc.).

Back-illuminated sensor

A back-illuminated sensor, also known as backside illumination (BI) sensor, is a type of digital that uses a novel arrangement of the imaging elements to increase the amount of light captured and thereby improve low-light performance. The technique was used for some time in specialized roles like low-light security cameras and astronomy sensors, but was complex to build and required further refinement to become widely used. Sony was the first to reduce these problems and their costs sufficiently to introduce a 5-megapixel 1.

Afficher plus

Publications associées (24)

Afficher plus

Real Time Implementation of the Omnidirectional Vision Construction Algorithm of the Panoptic Camera

Chattez avec Graph Search

Application-Driven System Technology Co-Optimization for 2.5D Edge AI Platforms

CAVE : Detecting and Explaining Commonsense Anomalies in Visual Environments

Temporal Human Visual Attention in Window Views: Dynamic Gaze Patterns Analysis and Deep Learning-Based Spatio-Temporal Saliency Estimation