Results 1 to 10 of about 2,947,234 (236)
Neural Interactive Keypoint Detection [PDF]
2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023 Accepted to ICCV ...
Jie Yang +5 more
core +5 more sources
Manipulation Planning for Object Re-Orientation Based on Semantic Segmentation Keypoint Detection. [PDF]
Sensors (Basel), 2021 Wong CC +4 more
europepmc +2 more sources
Efficient grouping for keypoint detection [PDF]
2020 25th International Conference on Pattern Recognition (ICPR), 2021 The success of deep neural networks in the traditional keypoint detection task encourages researchers to solve new problems and collect more complex datasets. The size of the DeepFashion2 dataset poses a new challenge on the keypoint detection task, as it comprises 13 clothing categories that span a wide range of keypoints (294 in total).
Alexey Sidnev +2 more
openaire +3 more sources
Keypoint detection by wave propagation [PDF]
Journal of Electronic Imaging, 2021 We propose to rely on the wave equation for the detection of repeatable keypoints invariant up to image scale and rotation and robust to viewpoint variations, blur, and lighting changes. The algorithm exploits the properties of local spatial–temporal extrema of the evolution of image intensities under the wave propagation to highlight salient ...
Salti, Samuele +2 more
openaire +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
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 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
CenterNet: Keypoint Triplets for Object Detection [PDF]
2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019 In object detection, keypoint-based approaches often suffer a large number of incorrect object bounding boxes, arguably due to the lack of an additional look into the cropped regions. This paper presents an efficient solution which explores the visual patterns within each cropped region with minimal costs.
Kaiwen Duan +5 more
openaire +2 more sources