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Found 8 papers, 4 papers with code
Event-based Camera Pose Tracking using a Generative Event Model
Event-based vision sensors mimic the operation of biological retina and they represent a major paradigm shift from traditional cameras.
Event-based, 6-DOF Camera Tracking from Photometric Depth Maps
Event cameras are bio-inspired vision sensors that output pixel-level brightness changes instead of standard intensity frames.
The Event-Camera Dataset and Simulator: Event-based Data for Pose Estimation, Visual Odometry, and SLAM
New vision sensors, such as the Dynamic and Active-pixel Vision sensor (DAVIS), incorporate a conventional global-shutter camera and an event-based sensor in the same pixel array.
Continuous-Time Visual-Inertial Odometry for Event Cameras
Recent work has shown that a continuous-time representation of the event camera pose can deal with the high temporal resolution and asynchronous nature of this sensor in a principled way.
Independent Motion Detection with Event-driven Cameras
In this paper, we propose a method for segmenting the motion of an independently moving object for event-driven cameras.
Translation of "Zur Ermittlung eines Objektes aus zwei Perspektiven mit innerer Orientierung" by Erwin Kruppa (1913)
1939-1948, which may be translated as "To determine a 3D object from two perspective views with known inner orientation", is a landmark paper in Computer Vision because it provides the first five-point algorithm for relative pose estimation.
The Replica Dataset: A Digital Replica of Indoor Spaces
We introduce Replica, a dataset of 18 highly photo-realistic 3D indoor scene reconstructions at room and building scale.
Project Aria: A New Tool for Egocentric Multi-Modal AI Research
Egocentric, multi-modal data as available on future augmented reality (AR) devices provides unique challenges and opportunities for machine perception.
