Image Analysis: 22nd Scandinavian Conference, SCIA 2023, Sirkka, Finland, April 18-21, 2023, Proceedings, Part II

The 23rd Scandinavian Conference on Image Analysis,SCIA 2023, held in Lapland, Finland, had 67 revised papers presented, covering various topics in image analysis and machine learning.

Format: Paperback / softback
Length: 615 pages
Publication date: 27 April 2023
Publisher: Springer International Publishing AG

The 23rd Scandinavian Conference on Image Analysis (SCIA 2023) was held in Lapland, Finland, in April 2023, and this two-volume set (LNCS 13885-13886) serves as the official proceedings of the conference. The conference received a total of 108 submissions, from which 67 revised papers were carefully selected for inclusion in the proceedings. These contributions are organized into topical sections covering a wide range of topics in image analysis.

The first section, "Datasets and Evaluation," explores the use of diverse datasets for image analysis tasks, including their characteristics, acquisition, and preprocessing. It also discusses evaluation methodologies and performance metrics used to assess the effectiveness of image analysis algorithms.

The second section, "Action and Behavior Recognition," focuses on the recognition and analysis of human actions and behaviors in images and videos. It covers techniques such as motion tracking, gesture recognition, facial expression analysis, and activity recognition.

The third section, "Image and Video Processing, Analysis, and Understanding," delves into various image and video processing techniques, including image enhancement, restoration, segmentation, object detection, and tracking. It also explores methods for understanding the content and context of images and videos, such as feature extraction, pattern recognition, and scene interpretation.

The fourth section, "Detection, Recognition, Classification, and Localization in 2D and/or 3D," addresses the challenges of detecting and recognizing objects in 2D and 3D images and videos. It covers techniques such as feature extraction, classification, and localization using supervised and unsupervised learning methods.

The fifth section, "Machine Learning and Deep Learning," explores the application of machine learning and deep learning algorithms in image analysis. It covers topics such as convolutional neural networks, recurrent neural networks, generative adversarial networks, and transfer learning.

The sixth section, "Segmentation, Grouping, and Shape," focuses on the segmentation and grouping of objects in images and videos. It covers techniques such as active shape models, hierarchical clustering, and graph-based methods.

The seventh section, "Vision for Robotics and Autonomous Vehicles," explores the use of vision in robotics and autonomous vehicles. It covers topics such as object detection, navigation, and perception for autonomous driving.

The eighth section, "Biometrics, Faces, Body Gestures, and Pose," explores the use of biometric technologies, such as face recognition, fingerprint recognition, and body pose estimation, in image analysis.

The ninth section, "3D Vision from Multiview and Other Sensors," focuses on the acquisition and analysis of 3D images and videos from multiview and other sensors. It covers techniques such as 3D reconstruction, depth estimation, and 3D object tracking.

The tenth section, "Vision Applications and Systems," showcases real-world applications of image analysis in various domains, such as medical imaging, surveillance, agriculture, and entertainment. It includes case studies and examples of successful image analysis systems developed in these fields.

Overall, this two-volume set provides a comprehensive overview of the latest advancements in image analysis, covering a wide range of topics and applications. The contributions from leading researchers and practitioners in the field make it an invaluable resource for researchers, students, and professionals in the field.

The 23rd Scandinavian Conference on Image Analysis (SCIA 2023) was held in Lapland, Finland, in April 2023, and this two-volume set (LNCS 13885-13886) serves as the official proceedings of the conference. The conference received a total of 108 submissions, from which 67 revised papers were carefully selected for inclusion in the proceedings. These contributions are organized into topical sections covering a wide range of topics in image analysis.

The first section, "Datasets and Evaluation," explores the use of diverse datasets for image analysis tasks, including their characteristics, acquisition, and preprocessing. It also discusses evaluation methodologies and performance metrics used to assess the effectiveness of image analysis algorithms.

The second section, "Action and Behavior Recognition," focuses on the recognition and analysis of human actions and behaviors in images and videos. It covers techniques such as motion tracking, gesture recognition, facial expression analysis, and activity recognition.

The third section, "Image and Video Processing, Analysis, and Understanding," delves into various image and video processing techniques, including image enhancement, restoration, segmentation, object detection, and tracking. It also explores methods for understanding the content and context of images and videos, such as feature extraction, pattern recognition, and scene interpretation.

The fourth section, "Detection, Recognition, Classification, and Localization in 2D and/or 3D," addresses the challenges of detecting and recognizing objects in 2D and 3D images and videos. It covers techniques such as feature extraction, classification, and localization using supervised and unsupervised learning methods.

The fifth section, "Machine Learning and Deep Learning," explores the application of machine learning and deep learning algorithms in image analysis. It covers topics such as convolutional neural networks, recurrent neural networks, generative adversarial networks, and transfer learning.

The sixth section, "Segmentation, Grouping, and Shape," focuses on the segmentation and grouping of objects in images and videos. It covers techniques such as active shape models, hierarchical clustering, and graph-based methods.

The seventh section, "Vision for Robotics and Autonomous Vehicles," explores the use of vision in robotics and autonomous vehicles. It covers topics such as object detection, navigation, and perception for autonomous driving.

The eighth section, "Biometrics, Faces, Body Gestures, and Pose," explores the use of biometric technologies, such as face recognition, fingerprint recognition, and body pose estimation, in image analysis.

The ninth section, "3D Vision from Multiview and Other Sensors," focuses on the acquisition and analysis of 3D images and videos from multiview and other sensors. It covers techniques such as 3D reconstruction, depth estimation, and 3D object tracking.

The tenth section, "Vision Applications and Systems," showcases real-world applications of image analysis in various domains, such as medical imaging, surveillance, agriculture, and entertainment. It includes case studies and examples of successful image analysis systems developed in these fields.

Overall, this two-volume set provides a comprehensive overview of the latest advancements in image analysis, covering a wide range of topics and applications. The contributions from leading researchers and practitioners in the field make it an invaluable resource for researchers, students, and professionals in the field.

Weight: 961g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031314377
Edition number: 1st ed. 2023