Computer Vision and Image Processing

Lingua: inglese

Editore: Springer, Springer Mär 2021, 2021

9811610916 / 9789811610912

Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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This item is printed on demand - Print on Demand Titel. Neuware -A Comparative analysis on AI techniques for Grape leaf disease recognition.- Sign language recognition using cluster and chunk-based feature extraction and symbolic representation.- Action Recognition in Haze Using an Efficient Fusion of Spatial and Temporal Features.- Human Action Recognition from 3D Landmark Points of the Performer.- A Combined Wavelet and Variational Mode Decomposition Approach for Denoising Texture Images.- Two-Image Approach to Reflection Removal with Deep Learning.- Visual Question Answering using Deep Learning: A Survey and Performance Analysis.- Image Aesthetic Assessment: A Deep Learning Approach using Class Activation Map.- RingFIR: A large volume earring dataset for fashion image retrieval.- Feature Selection and Feature Manifold for Age Estimation.- Degraded Document Image Binarization using Active Contour Model.- Accelerated Stereo Vision Using Nvidia Jetson and Intel AVX.- A Novel Machine Annotated Balanced Bangla OCR Corpus attention in U-Net.- Generative Adversarial Network for Heritage Image Super Resolution.- Deep Learning Based Image Enhancement and Black Box Filter Parameter Estimation.- Sign Gesture Recognition from Raw Skeleton Information in 3D Using Deep Learning.- Dual Gradient Feature Pair Based Face Recognition for Aging and Pose Changes.- Dynamic User Interface Composition.- Lightweight Photo-realistic Style Transfer for Mobile devices.- Deep learning based lens for mitigating hospital acquired infections.- Cricket Stroke Recognition using Hard and Soft Assignment based Bag of Visual Words.- Multi-lingual Indian Text Detector for Mobile Devices.- Facial Occlusion Detection and Reconstruction using GAN.- Ayurvedic Medicinal Plants Identification: A comparative study on feature extraction methods Images.- Domain Knowledge Embedding based Multimodal Intent Analysis in Artificial Intelligence Camera.- Age and Gender Prediction using Deep CNNs and Transfer Learning.- Text Line Segmentation: A FCN based approach.- Precise Recognition of Vision based Multi-Hand Signs using Deep Single Stage Convolutional Neural Network.- Human Gait Abnormality Detection using Low Cost Sensor Technology.- Bengali Place Name Recognition - Comparative Analysis using Different CNN Architectures.- Verification using Single Sample in Adolescence.- Evaluation of Deep Learning Networks for Keratoconus Detection using Corneal Topographic Images.- Deep Facial Emotion Recognition System under Facial Mask Occlusion.- Domain Adaptation based Technique for Image Emotion Recognition using Image Captions.- Gesture recognition in sign language videos by tracking the position and medial representation of the hand shapes.- DeepDoT: Deep framework for detection of tables in document images.- Correcting Low Illumination Images using PSO-based Gamma Correction and Image.- Classifying Method.- An efficient approach for Skin Lesion Segmentation using Dermoscopic Images: A Deep Learning Approach.- DeblurRL: Image Deblurring with Deep Reinforcement Learning.- FGrade: A large volume dataset for grading tomato freshness quality.- Enhancement of Region of Interest from a Single Backlit Image with Multiple Features.- Real-time Sign Language Interpreter on Embedded Platform.- Complex Gradient Function based Descriptor for Iris Biometrics and Action Recognition.- On-Device Language Identification of Text in Images using Diacritic Characters.- A Pre-Processing Assisted Neural Network for Dynamic Bad Pixel Detection in Bayer Images.- Face Recognition Using Sf3CNN With Higher FeatureSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 576 pp. Englisch.

Codice articolo 9789811610912

Titolo
Computer Vision and Image Processing
Autore
Satish Kumar Singh
Editore
Springer, Springer Mär 2021
Anno di pubblicazione
2021
Condizione
Neu
Rilegatura
Taschenbuch
Lingua
inglese
ISBN 10
9811610916
ISBN 13
9789811610912
Peso dell'articolo
861 grammi
Dimensioni
235x155x31 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germania

Venditore con 5 stelle

Venditore AbeBooks dal 23 gennaio 2017

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ArticoloDa 60 a 60 giorni lavorativiDa 60 a 60 giorni lavorativi
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