Results 31 to 40 of about 10,859 (240)
Assigning Main Orientation to an EOH Descriptor on Multispectral Images
This paper proposes an approach to compute an EOH (edge-oriented histogram) descriptor with main orientation. EOH has a better matching ability than SIFT (scale-invariant feature transform) on multispectral images, but does not assign a main orientation ...
Yong Li +4 more
doaj +1 more source
KGDet: Keypoint-Guided Fashion Detection
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 +2 more sources
FREAK: Fast Retina Keypoint [PDF]
A large number of vision applications rely on matching keypoints across images. The last decade featured an arms-race towards faster and more robust keypoints and association algorithms: Scale Invariant Feature Transform (SIFT)[17], Speed-up Robust Feature (SURF)[4], and more recently Binary Robust Invariant Scalable Keypoints (BRISK)[I6] to name a few.
Alahi, Alexandre +2 more
openaire +2 more sources
dattalab/keypoint-moseq: Keypoint MoSeq 0.2.1
Bugfix in save destination for trajectory ...
Mohammed Osman +6 more
core +1 more source
Face Keypoint Detection Method Based on Blaze_ghost Network
The accuracy and speed of facial keypoint detection are crucial factors for effectively extracting fatigue features, such as eye blinking and yawning.
Ning Yu +3 more
doaj +1 more source
Appearance-based keypoint clustering [PDF]
We present an algorithm for clustering sets of detected interest points into groups that correspond to visually distinct structure. Through the use of a suitable colour and texture representation, our clustering method is able to identify keypoints that belong to separate objects or background regions.
Estrada, Francisco J. +3 more
openaire +2 more sources
CoKe: Localized Contrastive Learning for Robust Keypoint Detection [PDF]
In this paper, we introduce a contrastive learning framework for keypoint detection (CoKe). Keypoint detection differs from other visual tasks where contrastive learning has been applied because the input is a set of images in which multiple keypoints ...
Bai, Yutong +3 more
core +1 more source
SIFT keypoint descriptors for range image analysis
This paper presents work in progress to extend the two-dimensional (2D) Scale Invariant Feature Transform (SIFT) into the 2.5 dimensional (2.5D) domain. Feature descriptors are extracted from range images of human faces and the form of these descriptors ...
Siebert, J., Lo, T-W.R.
core +7 more sources
Adaptive iterative closest keypoint
Finding accurate correspondences between overlapping 3D views is crucial for many robotic applications, from multi-view 3D object recognition to SLAM. This step, often referred to as view registration, plays a key role in determining the overall system performance.
Johan Ekekrantz +3 more
openaire +4 more sources
This paper proposes a novel global-to-local nonrigid brain MR image registration to compensate for the brain shift and the unmatchable outliers caused by the tumor resection.
Binjie Qin, Zhijun Gu
doaj +1 more source

