Publications related to Autofocus

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 ...

2020

Hough 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 INC2019

A Bit Too Much? High Speed Imaging from Sparse Photon Counts

Edoardo Charbon, Claudio Bruschini, Samuel Burri

Recent advances in photographic sensing technologies have made it possible to achieve light detection in terms of a single photon. Photon counting sensors are being increasingly used in many diverse applications. We address the problem of jointly recoverin ...

IEEE2019

WILDTRACK: 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 ...

IEEE2018

Obstacle 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 ...

2018

Position 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 Physics2017

Near-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 Engineering2016

Vision-Based Unmanned Aerial Vehicle Detection and Tracking for Sense and Avoid Systems

Pascal Fua, Denis Gillet, Alcherio Martinoli, Vincent Lepetit, Artem Rozantsev, Steven Adriaan Roelofsen, Krishna Raj Sapkota

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 ...

Ieee2016

Estimating 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

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Autofocus

DeepFocus: a Few-shot Microscope Slide Auto-Focus using a Sample Invariant CNN-based Sharpness Function

EKLT: Asynchronous Photometric Feature Tracking Using Events and Frames

Hough Forest With Optimized Leaves for Global Hand Pose Estimation With Arbitrary Postures

A Bit Too Much? High Speed Imaging from Sparse Photon Counts

WILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection

Obstacle detection for lake-deployed autonomous surface vehicles using RGB imagery

Position and mode dependent optical detection back-action in cantilever beam resonators

Near-Infrared High-Resolution Real-Time Omnidirectional Imaging Platform for Drone Detection

Vision-Based Unmanned Aerial Vehicle Detection and Tracking for Sense and Avoid Systems

Estimating Fusion Weights of a Multi-Camera Eye Tracking System by Leveraging User Calibration Data

Graph Chatbot

Chat with Graph Search

DeepFocus: a Few-shot Microscope Slide Auto-Focus using a Sample Invariant CNN-based Sharpness Function

Hough Forest With Optimized Leaves for Global Hand Pose Estimation With Arbitrary Postures

Estimating Fusion Weights of a Multi-Camera Eye Tracking System by Leveraging User Calibration Data

A Bit Too Much? High Speed Imaging from Sparse Photon Counts

WILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection

Obstacle detection for lake-deployed autonomous surface vehicles using RGB imagery

EKLT: Asynchronous Photometric Feature Tracking Using Events and Frames

Near-Infrared High-Resolution Real-Time Omnidirectional Imaging Platform for Drone Detection

Position and mode dependent optical detection back-action in cantilever beam resonators

Vision-Based Unmanned Aerial Vehicle Detection and Tracking for Sense and Avoid Systems