Results 41 to 50 of about 5,849,321 (239)
Recognition of building shape in maps using deep graph filter neural network
Geocarto International, 2023 Shape is one of the core features of the buildings which are the main elements of the map. The building shape recognition is widely used in many spatial applications.
Junkui Xu +3 more
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A novel shape classification method using 1‐D convolutional neural networks
IET Image Processing, 2023 Most of the shape classification methods are based on a single closed contour. However, practical shapes always have complex contours, for example, a combination of multiple open contours. How to accurately identify complex shapes is an unsolved problem.
Xun Zhang +4 more
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Breast shape recognition based on extreme learning machine
Xi'an Gongcheng Daxue xuebao, 2022 In view of the low accuracy of breast shape recognition, the approach of CFSFDP was used to cluster the breast shape of 108 young female breast forms in west region, and then the ELM algorithm was used to identify breast shape.
ZHOU Jie, WANG Ping, MAO Qian, WANG Aosi
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Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models
, 2017 We present a new deep learning architecture (called Kd-network) that is designed for 3D model recognition tasks and works with unstructured point clouds.
Klokov, Roman, Lempitsky, Victor
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Algorithm for image-based architectural element recognition [PDF]
FME Transactions, 2019 This research describes an image-based algorithm for a shape recognition of an architectural element from an image. Given an orthophoto of a particular element such as a window, and a query image of the object facade, the algorithm estimates the level of
Đurić Isidora +6 more
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3D image reconstruction of spinning cone-shaped target
The Journal of Engineering, 2019 By taking full advantage of the similarity of the two-dimensional (2D) imaging result with the target's mapping on the 2D imaging plane, this paper proposes a 3D image reconstruction method for spinning cone-shaped targets, which obtains the true 3D ...
Xiaowen Liu +4 more
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Gait recognition based on shape and motion analysis of silhouette contours [PDF]
, 2013 This paper presents a three-phase gait recognition method that analyses the spatio-temporal shape and dynamic motion (STS-DM) characteristics of a human subject’s silhouettes to identify the subject in the presence of most of the challenging factors that
Barnich +42 more
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Eye movement patterns during the recognition of three-dimensional objects: Preferential fixation of concave surface curvature minima [PDF]
, 2012 This study used eye movement patterns to examine how high-level shape information is used during 3D object recognition. Eye movements were recorded while observers either actively memorized or passively viewed sets of novel objects, and then during a ...
Arnold, PJ +6 more
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Evaluating persistence of shape information using a matching protocol
AIMS Neuroscience, 2018 Many laboratories have studied persistence of shape information, the goal being to better understand how the visual system mediates recognition of objects.
Ernest Greene, Hautus Michael J
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Object recognition using metric shape
Vision Research, 2012 Most previous studies of 3D shape perception have shown a general inability to visually perceive metric shape. In line with this, studies of object recognition have shown that only qualitative differences, not quantitative or metric ones can be used effectively for object recognition.
Lee, Young-Lim +3 more
openaire +2 more sources