Results 31 to 40 of about 8,058,581 (353)
Accurate detection of symmetries in 3D shapes [PDF]
ACM Transactions on Graphics, 2006 We propose an automatic method for finding symmetries of 3D shapes, that is, isometric transforms which leave a shape globally unchanged. These symmetries are deterministically found through the use of an intermediate quantity: the generalized moments.
Martinet, Aurélien +3 more
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Maximum Likelihood Estimation for the Offset-Normal Shape Distributions Using EM [PDF]
, 2010 The offset-normal shape distribution is defined as the induced shape distribution of a Gaussian distributed random configuration in the plane. Such distributions were introduced by Dryden and Mardia (1991) and represent an important parameterized family ...
Kume, Alfred, Alfred Kume, Max Welling
core +1 more source
Li-Tect: 3-D Monitoring and Shape Detection Using Visible Light Sensors
IEEE Sensors Journal, 2019 In this paper, we propose Li-Tect, an algorithm to detect the shape of an object located in an indoor environment using low cost optical elements through sensing the environment’s light.
Elnaz Alizadeh Jarchlo +6 more
semanticscholar +1 more source
Shape Robust Text Detection With Progressive Scale Expansion Network [PDF]
Computer Vision and Pattern Recognition, 2018 Scene text detection has witnessed rapid progress especially with the recent development of convolutional neural networks. However, there still exists two challenges which prevent the algorithm into industry applications.
Xiang Li +5 more
semanticscholar +1 more source
Ventral-stream-like shape representation: from pixel intensity values to trainable object-selective COSFIRE models [PDF]
, 2014 The remarkable abilities of the primate visual cortex have inspired the construction of computational models of some visual neurons. We propose a trainable hierarchical object recognition model, which we call S-COSFIRE (S stands for Shape and COSFIRE ...
Petkov, Nicolai +8 more
core +1 more source
Sensitivity for global shape detection
Journal of Vision, 2003 In order to understand the nature of the mechanisms responsible for global shape detection, we measured coherence thresholds in a 2IFC task where subjects judged which of two arrays of Gabors contained global circular structure. The stimulus was composed of an array of oriented Gabor patches positioned on a polar grid.
Rebecca L, Achtman +2 more
openaire +2 more sources
In Good Shape: Robust People Detection based on Appearance and Shape [PDF]
Procedings of the British Machine Vision Conference 2011, 2011 Robustly detecting people in real world scenes is a fundamental and challenging task in computer vision. State-of-the-art approaches use powerful learning methods and manually annotated image data. Importantly, these learning based approaches rely on the fact that the collected training data is representative of all relevant variations necessary to ...
Leonid Pishchulin +4 more
openaire +2 more sources
Deep Relational Reasoning Graph Network for Arbitrary Shape Text Detection [PDF]
Computer Vision and Pattern Recognition, 2020 Arbitrary shape text detection is a challenging task due to the high variety and complexity of scenes texts. In this paper, we propose a novel unified relational reasoning graph network for arbitrary shape text detection.
Shi-Xue Zhang +6 more
semanticscholar +1 more source
CA-U2-Net: Contour Detection and Attention in U2-Net for Infrared Dim and Small Target Detection
IEEE Access, 2023 With the development of infrared technology, infrared dim and small target detection plays an essential role in precision guidance and early warning systems.
Leihong Zhang +6 more
doaj +1 more source
Discriminatively Trained And-Or Graph Models for Object Shape Detection [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015 In this paper, we investigate a novel reconfigurable part-based model, namely And-Or graph model, to recognize object shapes in images. Our proposed model consists of four layers: leaf-nodes at the bottom are local classifiers for detecting contour ...
Liang Lin, X. Wang, Wei Yang, J. Lai
semanticscholar +1 more source