Titlebook: Computer Vision and Image Processing; 7th International Co Deep Gupta,Kishor Bhurchandi,Sanjeev Kumar Conference proceedings 2023 The Edito

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Rain Streak Removal via Spatio-Channel Based Spectral Graph CNN for Image Deraining,g deraining methods ignores long range contextual information and utilize only local spatial information. To address this issue, a Spatio-channel based Spectral Graph Convolutional Neural Network (SCSGCNet) for image deraining was proposed and two new modules were introduced to extract representatio

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A Curated Dataset for Spinach Species Identification,es because of the structure similarity of many plant species. So, automated spinach recognition will support the people community to a greater extent. In this study, we present spinach dataset, a freely accessible annotated collection of images of spinach leaves in Indian scenario. We propose three

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袭击

,Computing Digital Signature by Transforming 2D Image to 3D: A Geometric Perspective,o various 3D reconstruction techniques using neural nets, with the majority of approaches producing high-quality results and efficiency. This paper presents an approach to convert 2D facial images to 3D and then use the 3D data and features to construct a unique digital signature. The proposed solut

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A Curated Dataset for Spinach Species Identification,different custom designed convolutional neural networks (CNN) and compare the performance of the same. Also we apply the transfer learning approach using MobileNetV2 pretrained model for this spinach species recognition. Using transfer learning approach we got an accuracy of 92.96%.