Zobrazeno 1 - 10
of 84
pro vyhledávání: '"Sio-Hoi Ieng"'
Publikováno v:
Frontiers in Neuroscience, Vol 14 (2020)
We present the first purely event-based method for face detection using the high temporal resolution properties of an event-based camera to detect the presence of a face in a scene using eye blinks. Eye blinks are a unique and stable natural dynamic
Externí odkaz:
https://doaj.org/article/9013c2d1aeac489a97704b87706ffccd
Publikováno v:
Frontiers in Neuroscience, Vol 14 (2020)
In this paper, we introduce a framework for dynamic gesture recognition with background suppression operating on the output of a moving event-based camera. The system is developed to operate in real-time using only the computational capabilities of a
Externí odkaz:
https://doaj.org/article/0fd28aa805904798bd9c7be13d14143a
Publikováno v:
Frontiers in Neuroscience, Vol 13 (2020)
This paper introduces an new open-source, header-only and modular C++ framework to facilitate the implementation of event-driven algorithms. The framework relies on three independent components: sepia (file IO), tarsier (algorithms), and chameleon (d
Externí odkaz:
https://doaj.org/article/61da59b2454f454488b0be842543e93b
Publikováno v:
Frontiers in Neuroscience, Vol 13 (2019)
Most dynamic systems are controlled by discrete time controllers. One of the main challenges faced during the design of a digital control law is the selection of the appropriate sampling time. A small sampling time will increase the accuracy of the c
Externí odkaz:
https://doaj.org/article/f6d5f1f091c74e4f9eaa43c2563b05cc
Publikováno v:
Frontiers in Neuroscience, Vol 12 (2018)
3D reconstruction from multiple viewpoints is an important problem in machine vision that allows recovering tridimensional structures from multiple two-dimensional views of a given scene. Reconstructions from multiple views are conventionally achieve
Externí odkaz:
https://doaj.org/article/9f19582560f445b5a6d954dab2fd79a7
Publikováno v:
Frontiers in Neuroscience, Vol 12 (2018)
This paper introduces an event-based methodology to perform arbitrary linear basis transformations that encompass a broad range of practically important signal transforms, such as the discrete Fourier transform (DFT) and the discrete wavelet transfor
Externí odkaz:
https://doaj.org/article/7d4d1e466c96455eacefc79e50cda5c9
Publikováno v:
Frontiers in Neuroscience, Vol 12 (2018)
This paper introduces a color asynchronous neuromorphic event-based camera and a methodology to process color output from the device to perform color segmentation and tracking at the native temporal resolution of the sensor (down to one microsecond).
Externí odkaz:
https://doaj.org/article/44cf0835a78d46798e78d808c0f81e86
We propose a neuromimetic architecture able to perform always-on pattern recognition. To achieve this, we extended an existing event-based algorithm [1], which introduced novel spatio-temporal features as a Hierarchy Of Time-Surfaces (HOTS). Built fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f5cfea42f0f0cae075f5bd06e6a3ae5
https://doi.org/10.36227/techrxiv.18003077
https://doi.org/10.36227/techrxiv.18003077
Contour velocity estimation and tracking from a fully event-based perspective.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c22b8f0d9651d26ae6fac55a3a98eb3
https://doi.org/10.36227/techrxiv.17013824.v1
https://doi.org/10.36227/techrxiv.17013824.v1
Publikováno v:
Neuromorphic Computing and Engineering. 2:044004
Event-based cameras encode changes in a visual scene with high temporal precision and low power consumption, generating millions of events per second in the process. Current event-based processing algorithms do not scale well in terms of runtime and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::647229ccd2912c2d0d211d232de49c7f
https://doi.org/10.1088/2634-4386/ac970d
https://doi.org/10.1088/2634-4386/ac970d