Results 21 to 30 of about 8,796 (251)
Unveiling Copy-Move Forgeries: Enhancing Detection With SuperPoint Keypoint Architecture [PDF]
, 2023 The authentication of digital images poses a significant challenge due to the wide range of image forgery techniques employed, with one notable example being a copy-move forgery.
Alawatugoda, Janaka +9 more
core +1 more source
dattalab/keypoint-moseq: Keypoint MoSeq 0.2.2 [PDF]
, 2023 Small bugfix in hyperparameter handling for ...
Mohammed Osman +6 more
core +1 more source
KGDet: Keypoint-Guided Fashion Detection [PDF]
, 2021 Locating and classifying clothes, usually referred to as clothing detection, is a fundamental task in fashion analysis. Motivated by the strong structural characteristics of clothes, we pursue a detection method enhanced by clothing keypoints, which is a
Liu, Tong +6 more
core +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
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 +2 more sources
dattalab/keypoint-moseq: Keypoint MoSeq 0.2.1 [PDF]
, 2023 Bugfix in save destination for trajectory ...
Mohammed Osman +6 more
core +1 more source
SiLK: Simple Learned Keypoints
2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023 Keypoint detection & descriptors are foundational tech-nologies for computer vision tasks like image matching, 3D reconstruction and visual odometry. Hand-engineered methods like Harris corners, SIFT, and HOG descriptors have been used for decades; more recently, there has been a trend to introduce learning in an attempt to improve keypoint ...
Pierre Gleize +2 more
openaire +2 more sources
Semi-supervised Keypoint Localization
CoRR, 2021 Knowledge about the locations of keypoints of an object in an image can assist in fine-grained classification and identification tasks, particularly for the case of objects that exhibit large variations in poses that greatly influence their visual appearance, such as wild animals.
Olga Moskvyak +3 more
openaire +5 more sources
Shape and Viewpoint Without Keypoints [PDF]
, 2020 We present a learning framework that learns to recover the 3D shape, pose and texture from a single image, trained on an image collection without any ground truth 3D shape, multi-view, camera viewpoints or keypoint supervision. We approach this highly under-constrained problem in a "analysis by synthesis" framework where the goal is to predict the ...
Shubham Goel 0001 +2 more
openaire +2 more sources
Local Surf-Based Keypoint Transfer Segmentation [PDF]
, 2021 International audienceThis paper presents an improvement of the keypoint transfer method for the segmentation of 3D medical images. Our approach is based on 3D SURF keypoint extraction, instead of 3D SIFT in the original algorithm.
Sebastien Valette +5 more
core +1 more source