Search Results for author:
Found 18 papers, 8 papers with code
Sports Camera Pose Refinement Using an Evolution Strategy
This paper presents a robust end-to-end method for sports cameras extrinsic parameters optimization using a novel evolution strategy.
Graph-Based Multi-Camera Soccer Player Tracker
The paper presents a multi-camera tracking method intended for tracking soccer players in long shot video recordings from multiple calibrated cameras installed around the playing field.
Improving Point Cloud Based Place Recognition with Ranking-based Loss and Large Batch Training
The paper presents a simple and effective learning-based method for computing a discriminative 3D point cloud descriptor for place recognition purposes.
MinkLoc3D-SI: 3D LiDAR place recognition with sparse convolutions, spherical coordinates, and intensity
The 3D LiDAR place recognition aims to estimate a coarse localization in a previously seen environment based on a single scan from a rotating 3D LiDAR sensor.
Ranked #6 on
3D Place Recognition
on CS-Campus3D
EgoNN: Egocentric Neural Network for Point Cloud Based 6DoF Relocalization at the City Scale
The paper presents a deep neural network-based method for global and local descriptors extraction from a point cloud acquired by a rotating 3D LiDAR.
Large-Scale Topological Radar Localization Using Learned Descriptors
In this work, we propose a method for large-scale topological localization based on radar scan images using learned descriptors.
MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition
We also identify dominating modality problem when training a multimodal descriptor.
MinkLoc3D: Point Cloud Based Large-Scale Place Recognition
Thus, state-of-the-art methods enhance vanilla PointNet architecture by adding different mechanism to capture local contextual information, such as graph convolutional networks or using hand-crafted features.
Ranked #2 on
3D Place Recognition
on CS-Campus3D
SuperNCN: Neighbourhood consensus network for robust outdoor scenes matching
In this paper, we present a framework for computing dense keypoint correspondences between images under strong scene appearance changes.
FootAndBall: Integrated player and ball detector
The paper describes a deep neural network-based detector dedicated for ball and players detection in high resolution, long shot, video recordings of soccer matches.
DeepBall: Deep Neural-Network Ball Detector
The paper describes a deep network based object detector specialized for ball detection in long shot videos.
Ranked #7 on
Sports Ball Detection and Tracking
on Volleyball
SConE: Siamese Constellation Embedding Descriptor for Image Matching
Numerous computer vision applications rely on local feature descriptors, such as SIFT, SURF or FREAK, for image matching.
Face Recognition Based on Sequence of Images
This paper presents a face recognition method based on a sequence of images.
Interest point detectors stability evaluation on ApolloScape dataset
In the recent years, a number of novel, deep-learning based, interest point detectors, such as LIFT, DELF, Superpoint or LF-Net was proposed.
Camera Pose Estimation from Sequence of Calibrated Images
In this paper a method for camera pose estimation from a sequence of images is presented.
Aggregation of binary feature descriptors for compact scene model representation in large scale structure-from-motion applications
In this paper we present an efficient method for aggregating binary feature descriptors to allow compact representation of 3D scene model in incremental structure-from-motion and SLAM applications.
Extrinsic camera calibration method and its performance evaluation
This paper presents a method for extrinsic camera calibration (estimation of camera rotation and translation matrices) from a sequence of images.
Evaluation of Hashing Methods Performance on Binary Feature Descriptors
In this paper we evaluate performance of data-dependent hashing methods on binary data.
