Results 11 to 20 of about 10,859 (240)
SiLK: Simple Learned Keypoints
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 +3 more sources
dattalab/keypoint-moseq: Keypoint MoSeq 0.3.0
<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
Semi-supervised Keypoint Localization
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
Efficient grouping for keypoint detection [PDF]
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
Objective: To explore the precise location of the keypoint during craniotomy using the retrosigmoid keyhole approach.Methods: This study included 20 dry skulls and 10 wet cadaveric specimens.
Zhi-heng Jian +5 more
doaj +1 more source
Voxel Grid-Based Fast Registration of Terrestrial Point Cloud
Terrestrial laser scanning (TLS) is an important part of urban reconstruction and terrain surveying. In TLS applications, 4-point congruent set (4PCS) technology is widely used for the global registration of point clouds.
Biao Xiong +3 more
doaj +1 more source
Shape and Viewpoint Without Keypoints [PDF]
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 +3 more sources
Despite the important advances observed in the last 25 years in the comprehension of the clinical and biological nature of breast cancer and its treatment, this disease remains a significant cause of cancer morbidity and mortality worldwide. The clinical
Ana Macedo +4 more
doaj +1 more source
The article considers the problem of image recognition in computer vision systems. The results of the development of the method for image classification, using a structural approach, are presented.
Yousef Ibrahim Daradkeh +4 more
doaj +1 more source
Keypoint detection by wave propagation [PDF]
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

