Computer Vision and Graphics
Description
This book contains nine papers presented at the conference devoted to cutting-edge technologies and concepts related to image processing. A broad collection of problems including deep learning versus classical features, automatic description, image registration and 3D operations, new concepts in CAPTCHA, emotional reactions to VR, color blindness tests, and Digital Twins, is investigated. Research on these issues is important, among others due to that large amounts of video data are collected continually. They can be easily stored, but their analysis is still a challenge. The book is primarily intended for researchers and practitioners in image analysis and generation, as well as for students in the fields related to computer science. However, any reader interested in the subject matter of the book will find some chapters interesting and valuable.
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Content
Improving the Efficiency of "Show and Tell" Encoder-decoder Image Captioning Model.- Method for Fine Registration of Point Sets Based
on the Curvature of the Surface.- Contextual Information-Based Registration Method for Point Set Registration.- An Example of the Use of a Small Dataset for the Classification of Simple Actions Based on Manually Extracted Shape Descriptors, a Single-Layer Neural Network and Leave One-Actor-Out Cross-Validation Procedure.