Results 141 to 150 of about 3,617 (191)
Markerless 3D hand tracking for analysis of pediatric eye-hand coordination. [PDF]
MethodsXRajkumar A +5 more
europepmc +1 more source
A hybrid model for image forgery detection using deep learning with block and keypoint methods. [PDF]
Sci RepMehrjardi FZ, Zarchi MS.
europepmc +1 more source
Plant growth point localization via epoch-based prior annealing. [PDF]
Sci RepMa C, Zhang Z, Tian F, Huang Y, Yan C.
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
KGDet: Keypoint-Guided Fashion Detection
Proceedings of the AAAI Conference on Artificial Intelligence, 2021Locating 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 compact and effective representation of structures.
Shenhan Qian +6 more
openaire +1 more source
2019 International Conference on Document Analysis and Recognition Workshops (ICDARW), 2019
In keypoint regression, models are trained to consume an image and produce the x, y coordinates of some entity, e.g., a person's nose or corner of a document. Typical methods for doing so include linear regression over deep features to directly produce x, y coordinates and training networks to regress a dense heatmap around each keypoint.
Christopher Tensmeyer, Tony R. Martinez
openaire +1 more source
In keypoint regression, models are trained to consume an image and produce the x, y coordinates of some entity, e.g., a person's nose or corner of a document. Typical methods for doing so include linear regression over deep features to directly produce x, y coordinates and training networks to regress a dense heatmap around each keypoint.
Christopher Tensmeyer, Tony R. Martinez
openaire +1 more source
Keypoint detection by cascaded fast
2014 IEEE International Conference on Image Processing (ICIP), 2014When the FAST method for detecting corner features at high speed is applied to images that include complex textures (regions that include foliage, shrubbery, etc.), many corners that are not needed for object recognition are detected because FAST defines corner features on the basis of a 16-pixel bounding circle.
Takahiro Hasegawa +4 more
openaire +1 more source
Quaternion Harris For Multispectral Keypoint Detection
2020 IEEE International Conference on Image Processing (ICIP), 2020We present a new keypoint detection method that generalizes Harris corners for multispectral images by considering the input as a quaternionic matrix. Standard keypoint detectors run on scalar-valued inputs, neglecting input multimodality and potentially missing highly distinctive features. The proposed detector uses information from all channel inputs
Giorgos Sfikas +2 more
openaire +1 more source
Phase Invariant Keypoint Detection
2007 15th International Conference on Digital Signal Processing, 2007This paper introduces extensions to the complex wavelet keypoint detection paper [1], Keypoints are generated by finding local peaks in accumulated, interpolated maps of the product of magnitudes of directional complex filter responses, as in earlier work.
Anil Anthony Bharath, Nick G. Kingsbury
openaire +1 more source
Learning to Detect Good 3D Keypoints
International Journal of Computer Vision, 2017The established approach to 3D keypoint detection consists in defining effective handcrafted saliency functions based on geometric cues with the aim of maximizing keypoint repeatability. Differently, the idea behind our work is to learn a descriptor-specific keypoint detector so as to optimize the end-to-end performance of the feature matching pipeline.
Alessio Tonioni +4 more
openaire +1 more source