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pro vyhledávání: '"Mitrokhin, Anton"'
Accurate camera-to-lidar calibration is a requirement for sensor data fusion in many 3D perception tasks. In this paper, we present SceneCalib, a novel method for simultaneous self-calibration of extrinsic and intrinsic parameters in a system contain
Externí odkaz:
http://arxiv.org/abs/2304.05530
A new event camera dataset, EVIMO2, is introduced that improves on the popular EVIMO dataset by providing more data, from better cameras, in more complex scenarios. As with its predecessor, EVIMO2 provides labels in the form of per-pixel ground truth
Externí odkaz:
http://arxiv.org/abs/2205.03467
Autor:
Ye, Chengxi, Evanusa, Matthew, He, Hua, Mitrokhin, Anton, Goldstein, Tom, Yorke, James A., Fermüller, Cornelia, Aloimonos, Yiannis
Convolution is a central operation in Convolutional Neural Networks (CNNs), which applies a kernel to overlapping regions shifted across the image. However, because of the strong correlations in real-world image data, convolutional kernels are in eff
Externí odkaz:
http://arxiv.org/abs/1905.11926
We present the first event-based learning approach for motion segmentation in indoor scenes and the first event-based dataset - EV-IMO - which includes accurate pixel-wise motion masks, egomotion and ground truth depth. Our approach is based on an ef
Externí odkaz:
http://arxiv.org/abs/1903.07520
In this work we present a lightweight, unsupervised learning pipeline for \textit{dense} depth, optical flow and egomotion estimation from sparse event output of the Dynamic Vision Sensor (DVS). To tackle this low level vision task, we use a novel en
Externí odkaz:
http://arxiv.org/abs/1809.08625
Event-based vision sensors, such as the Dynamic Vision Sensor (DVS), are ideally suited for real-time motion analysis. The unique properties encompassed in the readings of such sensors provide high temporal resolution, superior sensitivity to light a
Externí odkaz:
http://arxiv.org/abs/1803.04523
Akademický článek
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Autor:
Mitrokhin A; Computer Vision Laboratory, Department of Computer Science, University of Maryland Institute for Advanced Computer Studies, University of Maryland, College Park, MD, United States., Sutor P; Computer Vision Laboratory, Department of Computer Science, University of Maryland Institute for Advanced Computer Studies, University of Maryland, College Park, MD, United States., Summers-Stay D; Computational and Information Sciences Directorate, Army Research Laboratory, Adelphi, MD, United States., Fermüller C; Computer Vision Laboratory, Department of Computer Science, University of Maryland Institute for Advanced Computer Studies, University of Maryland, College Park, MD, United States., Aloimonos Y; Computer Vision Laboratory, Department of Computer Science, University of Maryland Institute for Advanced Computer Studies, University of Maryland, College Park, MD, United States.
Publikováno v:
Frontiers in robotics and AI [Front Robot AI] 2020 Jun 09; Vol. 7, pp. 63. Date of Electronic Publication: 2020 Jun 09 (Print Publication: 2020).
