Results 81 to 90 of about 5,849,321 (239)

Finger-Vein Recognition Based on Densely Connected Convolutional Network Using Score-Level Fusion With Shape and Texture Images

open access: yesIEEE Access, 2020
Biometrics using finger-veins is a recognition method based on the shape of veins in fingers, and it has the advantage of difficulty to be forged. However, a shade is inevitably produced due to the bones and fingernails, and a change in illumination ...
Kyoung Jun Noh   +3 more
doaj   +1 more source

Possibilistic clustering for shape recognition [PDF]

open access: yes
Clustering methods have been used extensively in computer vision and pattern recognition. Fuzzy clustering has been shown to be advantageous over crisp (or traditional) clustering in that total commitment of a vector to a given class is not required at ...
Keller, James M., Krishnapuram, Raghu
core   +1 more source

Deep Learning Representation using Autoencoder for 3D Shape Retrieval

open access: yes, 2014
We study the problem of how to build a deep learning representation for 3D shape. Deep learning has shown to be very effective in variety of visual applications, such as image classification and object detection.
Bai, Song   +4 more
core   +1 more source

Balanced parametric body prior for implicit clothed human reconstruction from a monocular RGB

open access: yesIET Computer Vision
The authors study the problem of reconstructing detailed 3D human surfaces in various poses and clothing from images. The parametric human body allows accurate 3D clothed human reconstruction.
Rong Xue, Jiefeng Li, Cewu Lu
doaj   +1 more source

Changes in visual object recognition precede the shape bias in early noun learning

open access: yesFrontiers in Psychology, 2012
Two of the most formidable skills that characterize human beings are language and our prowess in visual object recognition. They may also be developmentally intertwined.
Meagan N Yee   +2 more
doaj   +1 more source

Object Shape Recognition Using Wavelet Descriptors

open access: yesJournal of Engineering, 2013
The wavelet transform is a well-known signal analysis method in several engineering disciplines. In image processing and pattern recognition, the wavelet transform is used in many applications for image coding as well as feature extraction purposes.
Adnan Abou Nabout
doaj   +1 more source

Plant Species Recognition Using Triangle-Distance Representation

open access: yesIEEE Access, 2019
Plant species recognition using leaf images is a highly important and challenging issue in botany and pattern recognition. A center problem of this task is how to accurately extract leaf image characteristics and quickly calculate the similarity between ...
Chengzhuan Yang, Hui Wei
doaj   +1 more source

Skeletal descriptions of shape provide unique perceptual information for object recognition

open access: yesScientific Reports, 2019
With seemingly little effort, humans can both identify an object across large changes in orientation and extend category membership to novel exemplars. Although researchers argue that object shape is crucial in these cases, there are open questions as to
V. Ayzenberg, Stella F. Lourenco
semanticscholar   +1 more source

Hint-based generic shape feature recognition from three-dimensional B-rep models

open access: yesAdvances in Mechanical Engineering, 2015
Three-dimensional B-rep is often used to convey product models in computer-aided design, computer-aided engineering, computer-aided process planning, and computer-aided manufacturing systems. Meaningful shape features need to be recognized from the B-rep
Haiyan Li   +3 more
doaj   +1 more source

Government Incentives to Change Employer Behavior [PDF]

open access: yes, 2008
Through various incentive mechanisms, the U.S. government has sought to shape and change the ways in which American businesses operate in a wide range of industries.
Boots, Shelley Waters, Danziger, Anna
core   +1 more source

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