Zobrazeno 1 - 10
of 199
pro vyhledávání: '"Raison, Maxime"'
Autor:
Samadi, Bahare, Raison, Maxime, Mahaudens, Philippe, Detrembleur, Christine, Achiche, Sofiane
Objectives: To quantify the magnitude of spinal deformity in adolescent idiopathic scoliosis (AIS), the Cobb angle is measured on X-ray images of the spine. Continuous exposure to X-ray radiation to follow-up the progression of scoliosis may lead to
Externí odkaz:
http://arxiv.org/abs/2301.12588
The potential of wearable robotics technology is undeniable. However, quantifying its value is difficult. Various types of exoskeleton robots have already been developed and tested for upper limb rehabilitation but, evaluations are not standardized,
Externí odkaz:
http://arxiv.org/abs/2112.14885
Current research in convolutional neural networks (CNN) focuses mainly on changing the architecture of the networks, optimizing the hyper-parameters and improving the gradient descent. However, most work use only 3 standard families of operations ins
Externí odkaz:
http://arxiv.org/abs/2003.05182
In recent years, there has been a rapid progress in solving the binary problems in computer vision, such as edge detection which finds the boundaries of an image and salient object detection which finds the important object in an image. This progress
Externí odkaz:
http://arxiv.org/abs/2002.04380
Akademický článek
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Low back pain is one of the most common musculoskeletal disorder. To reduce its incidences, some back exoskeletons have been designed and already commercialized. However, there is a gap between the phases of device and testing on subjects. In fact, t
Externí odkaz:
http://arxiv.org/abs/1910.01184
Current saliency methods require to learn large scale regional features using small convolutional kernels, which is not possible with a simple feed-forward network. Some methods solve this problem by using segmentation into superpixels while others d
Externí odkaz:
http://arxiv.org/abs/1908.08331
Fast and Optimal Laplacian Solver for Gradient-Domain Image Editing using Green Function Convolution
Autor:
Beaini, Dominique, Achiche, Sofiane, Nonez, Fabrice, Dufour, Olivier Brochu, Leblond-Ménard, Cédric, Asaadi, Mahdis, Raison, Maxime
In computer vision, the gradient and Laplacian of an image are used in different applications, such as edge detection, feature extraction, and seamless image cloning. Computing the gradient of an image is straightforward since numerical derivatives a
Externí odkaz:
http://arxiv.org/abs/1902.00176
Publikováno v:
Beaini, D., Achiche, S., Law-Kam Cio, Y.-S. & Raison, M. (2018). Novel convolution kernels for computer vision and shape analysis based on electromagnetism (Report). https://publications.polymtl.ca/3162/
Computer vision is a growing field with a lot of new applications in automation and robotics, since it allows the analysis of images and shapes for the generation of numerical or analytical information. One of the most used method of information extr
Externí odkaz:
http://arxiv.org/abs/1806.07996
In Computer Vision, edge detection is one of the favored approaches for feature and object detection in images since it provides information about their objects boundaries. Other region-based approaches use probabilistic analysis such as clustering a
Externí odkaz:
http://arxiv.org/abs/1806.01339