A 3D Iris Scanner From a Single Image Using Convolutional Neural Networks
نویسندگان
چکیده
منابع مشابه
Cystoscopy Image Classication Using Deep Convolutional Neural Networks
In the past three decades, the use of smart methods in medical diagnostic systems has attractedthe attention of many researchers. However, no smart activity has been provided in the eld ofmedical image processing for diagnosis of bladder cancer through cystoscopy images despite the highprevalence in the world. In this paper, two well-known convolutional neural networks (CNNs) ...
متن کاملHand Gesture Recognition from RGB-D Data using 2D and 3D Convolutional Neural Networks: a comparative study
Despite considerable enhances in recognizing hand gestures from still images, there are still many challenges in the classification of hand gestures in videos. The latter comes with more challenges, including higher computational complexity and arduous task of representing temporal features. Hand movement dynamics, represented by temporal features, have to be extracted by analyzing the total fr...
متن کاملA Radon-based Convolutional Neural Network for Medical Image Retrieval
Image classification and retrieval systems have gained more attention because of easier access to high-tech medical imaging. However, the lack of availability of large-scaled balanced labelled data in medicine is still a challenge. Simplicity, practicality, efficiency, and effectiveness are the main targets in medical domain. To achieve these goals, Radon transformation, which is a well-known t...
متن کاملImage Colorization using Convolutional Neural Networks
For the culmination of the course CMPS 242, Machine Learning, the authors 1 present a method for image colorization using convolutional neural networks. 2 Colorization, taking a black and white image and turning into a color (RGB) image, 3 is inherently an underdetermined problem. Because of this we aim to generate 4 plausible colorizations using the technology of convolutional neural networks. 5
متن کاملImage Classification using Convolutional Neural Networks
The specific paper I’ve chosen is titled “ImageNet Classification with Deep Convolutional Neural Networks” [1]. ImageNet is an annual competition in image recognition where researchers in the field pit their models against each other to achieve the highest classification accuracy on the same set of images. The model put forward in this paper, named AlexNet from it’s main author, beat the second...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Access
سال: 2020
ISSN: 2169-3536
DOI: 10.1109/access.2020.2996563