Atnaujinkite slapukų nuostatas

El. knyga: Computer Vision and Image Processing: 6th International Conference, CVIP 2021, Rupnagar, India, December 3-5, 2021, Revised Selected Papers, Part I

Edited by , Edited by , Edited by , Edited by , Edited by

DRM apribojimai

  • Kopijuoti:

    neleidžiama

  • Spausdinti:

    neleidžiama

  • El. knygos naudojimas:

    Skaitmeninių teisių valdymas (DRM)
    Leidykla pateikė šią knygą šifruota forma, o tai reiškia, kad norint ją atrakinti ir perskaityti reikia įdiegti nemokamą programinę įrangą. Norint skaityti šią el. knygą, turite susikurti Adobe ID . Daugiau informacijos  čia. El. knygą galima atsisiųsti į 6 įrenginius (vienas vartotojas su tuo pačiu Adobe ID).

    Reikalinga programinė įranga
    Norint skaityti šią el. knygą mobiliajame įrenginyje (telefone ar planšetiniame kompiuteryje), turite įdiegti šią nemokamą programėlę: PocketBook Reader (iOS / Android)

    Norint skaityti šią el. knygą asmeniniame arba „Mac“ kompiuteryje, Jums reikalinga  Adobe Digital Editions “ (tai nemokama programa, specialiai sukurta el. knygoms. Tai nėra tas pats, kas „Adobe Reader“, kurią tikriausiai jau turite savo kompiuteryje.)

    Negalite skaityti šios el. knygos naudodami „Amazon Kindle“.

This two-volume set (CCIS 1567-1568) constitutes the refereed proceedings of the 6h International Conference on Computer Vision and Image Processing, CVIP 2021, held in Rupnagar, India, in December 2021. 

The 70 full papers and 20 short papers were carefully reviewed and selected from the 260 submissions. The papers present recent research on such topics as biometrics, forensics, content protection, image enhancement/super-resolution/restoration, motion and tracking, image or video retrieval, image, image/video processing for autonomous vehicles, video scene understanding, human-computer interaction, document image analysis, face, iris, emotion, sign language and gesture recognition, 3D image/video processing, action and event detection/recognition, medical image and video analysis, vision-based human GAIT analysis, remote sensing, and more.
Classification of brain tumor MR images using transfer learning and
machine learning model.- Deep-TDRS: An Integrated System for Handwritten Text
Detection-Recognition and Conversion to Speech using Deep Learning.- Computer
aided diagnosis of Autism spectrum disorder based on Thermal
imaging.- Efficient High-Resolution Image-to-Image Translation using
Multi-Scale Gradient U-Net.- Generic Multispectral Image Demosaicking
Algorithm and New Performance Evaluation Metric.- A platform for large scale
auto annotation of scanned documents featuring real-time model building and
model pooling.- AC-CovidNet: Attention Guided Contrastive CNN for Recognition
of Covid-19 in Chest X-Ray Images.- Application of Deep Learning techniques
for Prostate Cancer Grading using Histopathological Images.- Dyadic
Interaction Recognition using Dynamic Representation and Convolutional Neural
Network.- Segmentation of Unstructured Scanned Devanagari Newspaper
Documents.- Automatic Classification of Sedimentary Rocks towards Oil
Reservoirs Detection.- Signature2Vec - An algorithm for reference frame
agnostic vectorization of handwritten signatures.- Leaf Segmentation and
Counting for Phenotyping of Rosette Plants Using Xception-style U-Net and
Watershed Algorithm.- Fast and Secure Video Encryption using
Divide-and-Conquer and Logistic Tent Innite Collapse Chaotic Map.- Visual
Localization Using Capsule Networks.- Detection of cataract from fundus
images using deep Transfer learning.- Brain Tumour Segmentation using
Convolution Neural Network.- Signature based Authentication: A Multi-Label
classication approach to detect the language and forged sample in
signature.- A Data-set and a Real-time Method for Detection of Pointing
Gesture from Depth Images.- VISION HELPER: CNN Based Real Time Navigator for
the Visually Impaired.- Structure-Texture Decomposition-Based Enhancement
Framework for Weakly Illuminated Images.- Low Cost Embedded Vision System For
Location And Tracking Of A Color Object.- Towards Label-Free Few-Shot
Learning: How Far Can We Go?.- AB-Net: Adult- Baby Net.- Polarimetric SAR
Classication: Fast Learning with k-Maximum Likelihood Estimator.- Leveraging
Discriminative Cues for Masked Face Recognition in Post COVID
World.- Pretreatment Identification of Oral Leukoplakia and Oral
Erythroplakia Metastasis Using Deep Learning Neural Networks.- Soft Biometric
Based Person Retrieval For Burglary Investigation.- A deep learning framework
for the classication of lung diseases using chest X-ray images.- Scene Graph
Generation with Geometric Context.- Deep Color Spaces for Fingerphoto
Presentation Attack Detection in Mobile Devices.- Cancelable Template
Generation using Convolutional Autoencoder and RandNet.- Homogeneous and
Non-Homogeneous Image Dehazing using Deep Neural Network.- Improved
periocular recognition through blend of handcrafted and deep
features.- Kernels for incoherent projection and orthogonal matching
pursuit?.- AAUNet: An Attention Augmented Convolution based UNet for Change
Detection in High Resolution Satellite Images.- A Large Volume Natural Tamil
Character Dataset.- Datasets of Wireless Capsule Endoscopy for AI-enabled
Techniques?.- Moving Objects Detection in Intricate Scenes via
Spatio-temporal Co-occurrence based Background Subtraction.- Script
Identication in Natural Scene TextImages by Learning Local and Global
Features on Inception Net..- Survey of Leukemia Cancer Cell Detection Using
Image Processing.- MS-Net: A CNN Architecture for Agriculture Pattern
Segmentation in Aerial Images.- Vision Transformer for Plant Disease
Detection:PlantViT.- Evaluation of Detection and Segmentation Tasks on
Driving Datasets.- Classification of Gender in Celebrity Cartoon
Images.- Localization of Polyps in WCE Images Using Deep Learning
Segmentation Methods: A Comparative Study.- Evaluation of Deep Architectures
for Facial Emotion Recognition.- Adaptive Rough-Fuzzy Kernelized Clustering
Algorithm for Noisy Brain MRI Tissue Segmentation.- On the Prospects of
Latent MasterPrints.