Results 311 to 320 of about 1,732,484 (345)

Detecting Small Variations in Shape

IEEE Transactions on Systems, Man, and Cybernetics, 1980
A method for the detection of very small differences between the shapes of two signals is presented. This method uses the normalized integrals of the signals to be compared; hence it filters the noise. After a general presentation giving an especially detailed account of the definition of equality of two shapes, the possible application fields with ...
Rix, Hervé, Malengé, Jean-Pierre
openaire   +1 more source

Matching for Shape Defect Detection

1999
The problem of defect detection in 2D and 3D shapes is analyzed. A shape is represented by a set of its contour, or surface, points. Mathematically, the problem is formulated as a specific matching of two sets of points, a reference one and a measured one. Modified Hausdorff distance between these two point sets is used to induce the matching. Based on
Dmitry Chetverikov, Yuri Khenokh
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Quantum Interference and Shape Detection

2018
We address the problem of shape detection in settings where large shape deformations and occlusions occur with clutter noise present. We propose a quantum model for shapes by applying the quantum path integral formulation to an existing energy model for shapes (a Bayesian-derived cost function).
Davi Geiger, Zvi M. Kedem
openaire   +1 more source

T-Shaped Girder Bridge Detection

Applied Mechanics and Materials, 2014
this article through the detection of T-shaped girder bridge, grasp the present situation of bridge structure and disease, and evaluate existing technical conditions to provide technical basis for the repair and reinforcement of the bridge in the future.
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Detection of skewed-symmetrical shape

Proceedings of 1st International Conference on Image Processing, 2002
There is a new approach to define objects qualitatively and hierarchically by generic shapes (we call them primitives) arranged by generic relations so that a class of objects has the same description and to recognize them in a parallel and bottom-up way in the image.
K. Sugimoto, F. Tomita
openaire   +1 more source

Object detection using shape features

2014 IEEE International Conference on Computational Intelligence and Computing Research, 2014
This study presents a method for detecting an object by using several features. Features are extracted based on the statistical distribution of points on the bitmap image of the shape. It detect the shape of an image by using geometrical features and then select the clustered of image that matched that shape from a large database.
Shalu Gupta, Y. Jayanta Singh
openaire   +1 more source

Object Classification from Shape Detection

2019
We evaluate the problem of object detection and classification based on a single model for five diverse classes. The class detection problem is implemented by enabling a method which detects the presence or absence of every shape-based model in every instance of a class. Low-level feature extraction is also performed to facilitate object categorization
Pragya Nagpal, Ankush Mittal
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Covariance shaping multiuser detection

IEEE International Symposium on Information Theory, 2003. Proceedings., 2003
Y.C. Eldar, S. Shamai
openaire   +1 more source

A Review of Shape Memory Polymers and Composites: Mechanisms, Materials, and Applications

Advanced Materials, 2021
Fenghua Zhang, Yanju Liu, Jin-Song Leng
exaly  

Reprogrammable recovery and actuation behaviour of shape-memory polymers

Nature Reviews Materials, 2019
Andreas Lendlein, Oliver E C Gould
exaly