Applied Computer Vision and Image Processing [electronic resource] : Proceedings of ICCET 2020, Volume 1 / edited by Brijesh Iyer, A. M. Rajurkar, Venkat Gudivada.
Contributor(s): Iyer, Brijesh [editor.]
| Rajurkar, A. M [editor.] | Gudivada, Venkat [editor.] | SpringerLink (Online service).
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BookSeries: Advances in Intelligent Systems and Computing: 1155Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2020Edition: 1st ed. 2020.Description: XII, 432 p. 210 illus., 142 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9789811540295.Subject(s): Signal processing | Computer vision | Pattern recognition systems | Machine learning | Signal, Speech and Image Processing | Computer Vision | Automated Pattern Recognition | Machine LearningAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 621.382 Online resources: Click here to access online A Deep Learning Architecture for Corpus Creation for Telugu Language -- Entropy-Based Facial Movements Recognition using CPVM -- A Novel Approach of Image Processing to Identify Type and Name of Snake -- Imext Text Summarizer using Deep Learning -- Lane Detection and Collision Prevention System for Automated Vehicles.
This book gathers high-quality research papers presented at the International Conference on Computing in Engineering and Technology (ICCET 2020) [formerly ICCASP]. A flagship conference on engineering and emerging next-generation technologies, it was jointly organized by Dr. Babasaheb Ambedkar Technological University and MGMs College of Engineering, Nanded, India on 9–11 January 2020. Focusing on applied computer vision and image processing, this proceedings volume includes papers on image processing, computer vision, pattern recognition, and DSP/DIP applications in healthcare systems.
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