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Articles by Anup Basu
Two-Dimensional Parallel Spatio-Temporal Pyramid Pooling for Hand Gesture Recognition
Abstract: Hand Gesture Recognition (HGR) plays a crucial role in user-friendly interactions between humans and computers. In recent years, using the Convolutional Neural Network (CNN) has improved the accuracy of image processing problems. Inspired by the high recognition rate of CNN and its efficiency, we propose a model for hand gesture recognition based on CNN and evaluate the results using images with plain and complex backgrounds.
Saliency-Driven Hand Gesture Recognition Incorporating Histogram of Oriented Gradients (HOG) and Deep Learning
1. Introduction Gestures are used for human interaction to express feelings, communicate non-verbal information, and increase the value of messages. A gesture can be an intuitive human–computer interface that helps machines understand body language for various purposes.
Level Sets Guided by SoDEF-Fitting Energy for River Channel Detection in SAR Images
Abstract : To achieve river channel detection in SAR (synthetic aperture radar) images, we developed a level-set-based model (LSBM) guided by a designed data-fitting energy which is called the SoDEF (sum of dual exponential functions)-fitting energy. Firstly, we designed a function by computing the sum of dual exponential functions to substitute for the quadratic function, and used it to construct the data-fitting energy.
A hybrid level set model for image segmentation
Loading metrics Open Access Peer-reviewed Research Article Weiqin Chen, Changjiang Liu , Anup Basu, Bin Pan Weiqin Chen, Changjiang Liu, Anup Basu, Bin Pan Published: June 7, 2021 https://doi.org/10.1371/journal.pone.0251914 Figures Abstract Active contour models driven by local binary fitting energy can segment images with inhomogeneous intensity, while being prone to falling into a local minima. However, the segmentation result largely depends on the location of the initial contour.
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