Concept
Autofocus
Publications associées (44)
DeepFocus: a Few-shot Microscope Slide Auto-Focus using a Sample Invariant CNN-based Sharpness Function
Michael Stefan Daniel Liebling, Adrian Shajkofci
Autofocus (AF) methods are extensively used in biomicroscopy, for example to acquire timelapses, where the imaged objects tend to drift out of focus. AF algorithms determine an optimal distance by which to move the sample back into the focal plane. Current ...
2020EKLT: Asynchronous Photometric Feature Tracking Using Events and Frames
We present EKLT, a feature tracking method that leverages the complementarity of event cameras and standard cameras to track visual features with high temporal resolution. Event cameras are novel sensors that output pixel-level brightness changes, called “ ...
2020Hough Forest With Optimized Leaves for Global Hand Pose Estimation With Arbitrary Postures
Daniel Thalmann, Hui Liang, Jun Lee
Vision-based hand pose estimation is important in human-computer interaction. While many recent works focus on full degree-of-freedom hand pose estimation, robust estimation of global hand pose remains a challenging problem. This paper presents a novel alg ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2019WILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection
Pascal Fua, François Fleuret, Tatjana Chavdarova, Andrii Maksai, Cijo Jose, Stéphane Bouquet
People detection methods are highly sensitive to occlusions between pedestrians, which are extremely frequent in many situations where cameras have to be mounted at a limited height. The reduction of camera prices allows for the generalization of static mu ...
IEEE2018Obstacle detection for lake-deployed autonomous surface vehicles using RGB imagery
David Andrew Barry, Philippe Olivier Paccaud
We describe and test an obstacle-detection system for small, lake-deployed autonomous surface vehicles (ASVs) that relies on a low-cost, consumer-grade camera and runs on a single-board computer. A key feature of lakes that must be accounted for is the fre ...
2018Position and mode dependent optical detection back-action in cantilever beam resonators
Luis Guillermo Villanueva Torrijo, Tom Larsen
Optical detection back-action in cantilever resonant or static detection presents a challenge when striving for state-of-the-art performance. The origin and possible routes for minimizing optical back-action have received little attention in literature. He ...
Institute of Physics2017Near-Infrared High-Resolution Real-Time Omnidirectional Imaging Platform for Drone Detection
Yusuf Leblebici, Vladan Popovic
Recent technological advancements in hardware systems have made higher quality cameras. State of the art panoramic systems use them to produce videos with a resolution of 9000 x 2400 pixels at a rate of 30 frames per second (fps).(1) Many modern applicatio ...
Spie-Int Soc Optical Engineering2016Estimating Fusion Weights of a Multi-Camera Eye Tracking System by Leveraging User Calibration Data
Jean-Philippe Thiran, Nuri Murat Arar
Cross-ratio (CR)-based eye tracking has been attracting much interest due to its simple setup, yet its accuracy is lower than that of the model-based approaches. In order to improve the estimation accuracy, a multi-camera setup can be exploited rather than ...
Assoc Computing Machinery2016