The standard cameras are designed to truthfully mimic the human eye and the visual system. In recent years, commercially available cameras are becoming more complex, and offer higher image resolutions than ever before. However, the quality of conventional ...
EPFL2016
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Because standard cameras sample the scene at constant time intervals, they do not provide any information in the blind time between subsequent frames. However, for many high-speed robotic and vision applications, it is crucial to provide high-frequency mea ...
Event cameras are bio-inspired vision sensors that output pixel-level brightness changes instead of standard intensity frames. They offer significant advantages over standard cameras, namely a very high dynamic range, no motion blur, and a latency in the o ...
We propose an approach for on-line detection of small Unmanned Aerial Vehicles (UAVs) and estimation of their relative positions and velocities in the 3D environment from a single moving camera in the context of sense and avoid systems. This problem is cha ...
Detecting that pedestrians are present in front of a vehicle is highly desirable to avoid dangerous traffic situations. A novel vision-based system is presented to automatically detect far-away pedestrians with low-resolution cameras mounted in vehicles gi ...
Multi-camera systems have attracted attention in recent years due to rapidly dropping cost of digital cameras. This has enabled wide variety of new research topics and applications for Multi View Imaging (MVI) systems. Virtual view synthesis, high performa ...
2012
Finding relations between image semantics and image characteristics is a problem of long standing in computer vision and related fields. Despite persistent efforts and significant advances in the field, today’s computers are still strikingly unable to achi ...
EPFL2013
Mobile robots suffer from sensor data corruption due to body oscillations and disturbances. Especially, information loss on images captured with onboard cameras can be extremely high and such loss may become irreversible or deblurring can be computationall ...
IEEE2014
A short review for “Crowdsourcing to Smartphones: Incentive Mechanism Design for Mobile Phone Sensing", D. Yang, G. Xue, X. Fang, and J. Tang, in Proceedings of ACM International Conference on Mobile Computing and Networking (MobiCom), pp. 173-184, 2012. ...
2013
Many classes of objects can now be successfully detected with statistical machine learning techniques. Faces, cars and pedestrians, have all been detected with low error rates by learning their appearance in a highly generic manner from extensive training ...