2004 International Conference on Image Processing, 2004. ICIP '04., 2004
Most of the catadioptric cameras rely on the single view-point constraint that is hardly fulfille... more Most of the catadioptric cameras rely on the single view-point constraint that is hardly fulfilled. There exists many works on non single viewpoint catadioptric sensors satisfying specific resolutions. The computation of the caustic curve becomes essential if precision and flexibility are aimed. Existing solutions are unfortunately too specific to a class of curves and need heavy precomputations. This paper presents
ABSTRACT The recently developed Dynamic Vision Sensors (DVS) sense dynamic visual information asy... more ABSTRACT The recently developed Dynamic Vision Sensors (DVS) sense dynamic visual information asynchronously and code it into trains of events with sub-micro second temporal resolution. This high temporal precision makes the output of these sensors especially suited for dynamic 3D visual reconstruction, by matching corresponding events generated by two different sensors in a stereo setup. This paper explores the use of Gabor filters to extract information about the orientation of the object edges that produce the events, applying the matching algorithm to the events generated by the Gabor filters and not to those produced by the DVS. This strategy provides more reliably matched pairs of events, improving the final 3D reconstruction.
2008 IEEE Conference on Cybernetics and Intelligent Systems, 2008
Non conventional imaging sensors have been intensively investigate in recent works. Research is c... more Non conventional imaging sensors have been intensively investigate in recent works. Research is conducted to design devices capable to provide panoramic views with no need of mozaicing process. These devices combine optical lenses and/or non planar reflective surface with standard pinhole camera. We present in this paper an analysis of pixels rearranged sensor adapted to distortions induced by mirrors. Particularly,
Most of the catadioptric cameras rely on the single viewpoint constraint that is hardly fulfilled... more Most of the catadioptric cameras rely on the single viewpoint constraint that is hardly fulfilled. There exists many works on non single viewpoint catadiop- tric sensors satisfying specific resolutions. In such configurations, the computa- tion of the caustic curve becomes essential. Existing solutions are unfortunately too specific to a class of curves and need heavy computation load. This paper presents
IEEE transactions on neural networks and learning systems, Jan 16, 2014
This paper presents a number of new methods for visual tracking using the output of an event-base... more This paper presents a number of new methods for visual tracking using the output of an event-based asynchronous neuromorphic dynamic vision sensor. It allows the tracking of multiple visual features in real time, achieving an update rate of several hundred kilohertz on a standard desktop PC. The approach has been specially adapted to take advantage of the event-driven properties of these sensors by combining both spatial and temporal correlations of events in an asynchronous iterative framework. Various kernels, such as Gaussian, Gabor, combinations of Gabor functions, and arbitrary user-defined kernels, are used to track features from incoming events. The trackers described in this paper are capable of handling variations in position, scale, and orientation through the use of multiple pools of trackers. This approach avoids the N(2) operations per event associated with conventional kernel-based convolution operations with N ×N kernels. The tracking performance was evaluated experim...
International Conference on Intelligent RObots and Systems - IROS, 2008
The synchronization of image sequences acquired by robots swarms is an essential task for localiz... more The synchronization of image sequences acquired by robots swarms is an essential task for localization operations. We address this problem by considering the swarms as dynamic camera networks in which, each robot is reduced to a mobile camera. The synchronicity is a strong restriction that in some cases of wide applications can be dicult to obtain. This paper studies the
Camera networks are complex vision systems dicult to control if the number of sensors is getting ... more Camera networks are complex vision systems dicult to control if the number of sensors is getting higher. With classic approaches, each camera has to be calibrated and synchronized individually. These tasks are often troublesome because of spatial constraints, and mostly due to the amount of information that need to be processed. Cameras generally observe overlapping areas, lead- ing to redundant
IEEE Transactions on Neural Networks and Learning Systems, 2012
We present a novel event-based stereo matching algorithm that exploits the asynchronous visual ev... more We present a novel event-based stereo matching algorithm that exploits the asynchronous visual events from a pair of silicon retinas. Unlike conventional frame-based cameras, recent artificial retinas transmit their outputs as a continuous stream of asynchronous temporal events, in a manner similar to the output cells of the biological retina. Our algorithm uses the timing information carried by this representation in addressing the stereo-matching problem on moving objects. Using the high temporal resolution of the acquired data stream for the dynamic vision sensor, we show that matching on the timing of the visual events provides a new solution to the real-time computation of 3-D objects when combined with geometric constraints using the distance to the epipolar lines. The proposed algorithm is able to filter out incorrect matches and to accurately reconstruct the depth of moving objects despite the low spatial resolution of the sensor. This brief sets up the principles for further event-based vision processing and demonstrates the importance of dynamic information and spike timing in processing asynchronous streams of visual events.
Most of the catadioptric cameras rely on the single viewpoint constraint that is hardly fulfilled... more Most of the catadioptric cameras rely on the single viewpoint constraint that is hardly fulfilled. There exists many works on non single viewpoint catadioptric sensors satisfying specific resolutions. In such configurations, the computation of the caustic curve becomes essential. Existing solutions are unfortunately too specific to a class of curves and need heavy computation load. This paper presents a flexible
2004 International Conference on Image Processing, 2004. ICIP '04., 2004
Most of the catadioptric cameras rely on the single view-point constraint that is hardly fulfille... more Most of the catadioptric cameras rely on the single view-point constraint that is hardly fulfilled. There exists many works on non single viewpoint catadioptric sensors satisfying specific resolutions. The computation of the caustic curve becomes essential if precision and flexibility are aimed. Existing solutions are unfortunately too specific to a class of curves and need heavy precomputations. This paper presents
ABSTRACT The recently developed Dynamic Vision Sensors (DVS) sense dynamic visual information asy... more ABSTRACT The recently developed Dynamic Vision Sensors (DVS) sense dynamic visual information asynchronously and code it into trains of events with sub-micro second temporal resolution. This high temporal precision makes the output of these sensors especially suited for dynamic 3D visual reconstruction, by matching corresponding events generated by two different sensors in a stereo setup. This paper explores the use of Gabor filters to extract information about the orientation of the object edges that produce the events, applying the matching algorithm to the events generated by the Gabor filters and not to those produced by the DVS. This strategy provides more reliably matched pairs of events, improving the final 3D reconstruction.
2008 IEEE Conference on Cybernetics and Intelligent Systems, 2008
Non conventional imaging sensors have been intensively investigate in recent works. Research is c... more Non conventional imaging sensors have been intensively investigate in recent works. Research is conducted to design devices capable to provide panoramic views with no need of mozaicing process. These devices combine optical lenses and/or non planar reflective surface with standard pinhole camera. We present in this paper an analysis of pixels rearranged sensor adapted to distortions induced by mirrors. Particularly,
Most of the catadioptric cameras rely on the single viewpoint constraint that is hardly fulfilled... more Most of the catadioptric cameras rely on the single viewpoint constraint that is hardly fulfilled. There exists many works on non single viewpoint catadiop- tric sensors satisfying specific resolutions. In such configurations, the computa- tion of the caustic curve becomes essential. Existing solutions are unfortunately too specific to a class of curves and need heavy computation load. This paper presents
IEEE transactions on neural networks and learning systems, Jan 16, 2014
This paper presents a number of new methods for visual tracking using the output of an event-base... more This paper presents a number of new methods for visual tracking using the output of an event-based asynchronous neuromorphic dynamic vision sensor. It allows the tracking of multiple visual features in real time, achieving an update rate of several hundred kilohertz on a standard desktop PC. The approach has been specially adapted to take advantage of the event-driven properties of these sensors by combining both spatial and temporal correlations of events in an asynchronous iterative framework. Various kernels, such as Gaussian, Gabor, combinations of Gabor functions, and arbitrary user-defined kernels, are used to track features from incoming events. The trackers described in this paper are capable of handling variations in position, scale, and orientation through the use of multiple pools of trackers. This approach avoids the N(2) operations per event associated with conventional kernel-based convolution operations with N ×N kernels. The tracking performance was evaluated experim...
International Conference on Intelligent RObots and Systems - IROS, 2008
The synchronization of image sequences acquired by robots swarms is an essential task for localiz... more The synchronization of image sequences acquired by robots swarms is an essential task for localization operations. We address this problem by considering the swarms as dynamic camera networks in which, each robot is reduced to a mobile camera. The synchronicity is a strong restriction that in some cases of wide applications can be dicult to obtain. This paper studies the
Camera networks are complex vision systems dicult to control if the number of sensors is getting ... more Camera networks are complex vision systems dicult to control if the number of sensors is getting higher. With classic approaches, each camera has to be calibrated and synchronized individually. These tasks are often troublesome because of spatial constraints, and mostly due to the amount of information that need to be processed. Cameras generally observe overlapping areas, lead- ing to redundant
IEEE Transactions on Neural Networks and Learning Systems, 2012
We present a novel event-based stereo matching algorithm that exploits the asynchronous visual ev... more We present a novel event-based stereo matching algorithm that exploits the asynchronous visual events from a pair of silicon retinas. Unlike conventional frame-based cameras, recent artificial retinas transmit their outputs as a continuous stream of asynchronous temporal events, in a manner similar to the output cells of the biological retina. Our algorithm uses the timing information carried by this representation in addressing the stereo-matching problem on moving objects. Using the high temporal resolution of the acquired data stream for the dynamic vision sensor, we show that matching on the timing of the visual events provides a new solution to the real-time computation of 3-D objects when combined with geometric constraints using the distance to the epipolar lines. The proposed algorithm is able to filter out incorrect matches and to accurately reconstruct the depth of moving objects despite the low spatial resolution of the sensor. This brief sets up the principles for further event-based vision processing and demonstrates the importance of dynamic information and spike timing in processing asynchronous streams of visual events.
Most of the catadioptric cameras rely on the single viewpoint constraint that is hardly fulfilled... more Most of the catadioptric cameras rely on the single viewpoint constraint that is hardly fulfilled. There exists many works on non single viewpoint catadioptric sensors satisfying specific resolutions. In such configurations, the computation of the caustic curve becomes essential. Existing solutions are unfortunately too specific to a class of curves and need heavy computation load. This paper presents a flexible
Uploads
Papers by Sio-hoi Ieng