Results 1 to 10 of about 5,849,321 (239)
Multi-view Convolutional Neural Networks for 3D Shape Recognition [PDF]
IEEE International Conference on Computer Vision, 2015 A longstanding question in computer vision concerns the representation of 3D shapes for recognition: should 3D shapes be represented with descriptors operating on their native 3D formats, such as voxel grid or polygon mesh, or can they be effectively ...
Kalogerakis, Evangelos +3 more
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Design and Evaluation of Anthropomorphic Robotic Hand for Object Grasping and Shape Recognition
Computers, 2020 We developed an anthropomorphic multi-finger artificial hand for a fine-scale object grasping task, sensing the grasped object’s shape. The robotic hand was created using the 3D printer and has the servo bed for stand-alone finger movement.
Rahul Raj Devaraja +2 more
doaj +2 more sources
Curvature Bag of Words Model for Shape Recognition
IEEE Access, 2019 The object shape recognition of nonrigid transformations and local deformations is a difficult problem. In this paper, a shape recognition algorithm based on the curvature bag of words (CBoW) model is proposed to solve that problem. First, an approximate
Jiexian Zeng +4 more
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Research on FBG Tactile Sensing Shape Recognition Based on Convolutional Neural Network [PDF]
SensorsShape recognition plays a significant role in the field of robot perception. In view of the low efficiency and few types of shape recognition of the fiber tactile sensor applied to flexible skin, a convolutional-neural-network-based FBG tactile sensing ...
Guan Lu +3 more
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Brain Measures of Toddlers’ Shape Recognition Predict Language and Cognitive Skills at 6–7 Years [PDF]
Frontiers in Psychology, 2019 While a number of studies have found that an improvement in object shape recognition is associated with language growth in infants and toddlers, no published studies have investigated the longitudinal relation between early shape recognition, and ...
Kristina Borgström +3 more
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Deformation-driven shape correspondence via shape recognition [PDF]
ACM Transactions on Graphics, 2017 Many approaches to shape comparison and recognition start by establishing a shape correspondence. We "turn the table" and show that quality shape correspondences can be obtained by performing many shape recognition tasks. What is more, the method we develop computes a fine-grained, topology-varying part ...
Chenyang Zhu +5 more
openaire +3 more sources
Shape recognition: convexities, concavities and things in between. [PDF]
Sci Rep, 2015 Visual objects are effortlessly recognized from their outlines, largely irrespective of viewpoint. Previous studies have drawn different conclusions regarding the importance to shape recognition of specific shape features such as convexities and ...
Schmidtmann G, Jennings BJ, Kingdom FA.
europepmc +2 more sources
USR-VS: a web server for large-scale prospective virtual screening using ultrafast shape recognition techniques. [PDF]
Nucleic Acids Res, 2016 Ligand-based Virtual Screening (VS) methods aim at identifying molecules with a similar activity profile across phenotypic and macromolecular targets to that of a query molecule used as search template.
Li H, Leung KS, Wong MH, Ballester PJ.
europepmc +2 more sources
Shape recognition and classification in electro-sensing. [PDF]
Proc Natl Acad Sci U S A, 2014 This paper aims at advancing the field of electro-sensing. It exhibits the physical mechanism underlying shape perception for weakly electric fish. These fish orient themselves at night in complete darkness by employing their active electrolocation ...
Ammari H, Boulier T, Garnier J, Wang H.
europepmc +2 more sources
Visual cortex speckle imaging for shape recognition [PDF]
Scientific ReportsThis study introduces a non‑invasive approach for neurovisual classification of geometric shapes by capturing and decoding laser‑speckle patterns reflected from the human striate cortex.
Zeev Kalyuzhner +4 more
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