Results 31 to 40 of about 2,769,981 (233)
dattalab/keypoint-moseq: Keypoint MoSeq 0.3.0
, 2023 <h2>Overhaul of statistical analysis pipeline</h2> <p>We refactored the statistical analysis pipeline so that it no longer depends on jupyter notebook extensions (many users reported issues installing the extensions). <strong>Note:
Mohammed Osman +7 more
core +1 more source
Fast keypoint detection in video sequences [PDF]
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016 A number of computer vision tasks exploit a succinct representation of the visual content in the form of sets of local features. Given an input image, feature extraction algorithms identify a set of keypoints and assign to each of them a description vector, based on the characteristics of the visual content surrounding the interest point. Several tasks
BAROFFIO, LUCA +4 more
openaire +5 more sources
YOLOPoint: Joint Keypoint and Object Detection
, 2023 Intelligent vehicles of the future must be capable of understanding and navigating safely through their surroundings. Camera-based vehicle systems can use keypoints as well as objects as low- and high-level landmarks for GNSS-independent SLAM and visual odometry. To this end we propose YOLOPoint, a convolutional neural network model that simultaneously
Anton Backhaus +2 more
openaire +4 more sources
CornerNet: Detecting Objects as Paired Keypoints [PDF]
International Journal of Computer Vision, 2018 Extended version with additional results.
Hei Law, Jia Deng 0001
openaire +3 more sources
IET Image Processing, 2021 With increasing demand for scale‐invariant and fast object recognition, speeded up robust features (SURF) have emerged and become a widely used feature extraction algorithm in computer vision. Nevertheless, SURF still requires high memory usage and heavy
Eunhee Cho, Yoonjin Kim
doaj +1 more source
Cofopose: Conditional 2D Pose Estimation with Transformers
Sensors, 2022 Human pose estimation has long been a fundamental problem in computer vision and artificial intelligence. Prominent among the 2D human pose estimation (HPE) methods are the regression-based approaches, which have been proven to achieve excellent results.
Evans Aidoo +7 more
doaj +1 more source
Human keypoint detection for close proximity human-robot interaction [PDF]
, 2023 We study the performance of state-of-the-art human keypoint detectors in the context of close proximity human-robot interaction. The detection in this scenario is specific in that only a subset of body parts such as hands and torso are in the field of ...
Rozlivek, Jakub +3 more
core +1 more source
Training for Task Specific Keypoint Detection [PDF]
, 2009 In this paper, we show that a better performance can be achieved by training a keypoint detector to only find those points that are suitable to the needs of the given task. We demonstrate our approach in an urban environment, where the keypoint detector should focus on stable man-made structures and ignore objects that undergo natural changes such as ...
Strecha, Christoph +3 more
openaire +1 more source
A SELF-SUPERVISED KEYPOINT DETECTION NETWORK FOR MULTIMODAL REMOTE SENSING IMAGES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Currently, multimodal remote sensing images have complex geometric and radiometric distortions, which are beyond the reach of classical hand-crafted feature-based matching.
L. Li, L. Han, H. Cao, M. Liu
doaj +1 more source
A New Scheme for Keypoint Detection and Description [PDF]
Mathematical Problems in Engineering, 2015 The keypoint detection and its description are two critical aspects of local keypoints matching which is vital in some computer vision and pattern recognition applications. This paper presents a new scale-invariant and rotation-invariant detector and descriptor, coined, respectively, DDoG and FBRK.
Yang, Lian, Lu, Zhangping
openaire +2 more sources