Computer Vision - ACCV 2022: 16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, Proceedings, Part I

The 16th Asian Conference on Computer Vision,ACCV 2022, held in Macao, China, had 277 contributions focusing on 3D computer vision, applications, low-level vision, face and gesture, recognition, biomedical image analysis, deep learning, and generative models.

Format: Paperback / softback
Length: 669 pages
Publication date: 04 March 2023
Publisher: Springer International Publishing AG

The 16th Asian Conference on Computer Vision (ACCV 2022) was held in Macao, China, from December 2022, and its proceedings have been published in a comprehensive 7-volume set (LNCS 13841-13847). This conference brought together a diverse array of experts from around the world to explore cutting-edge advancements in computer vision.

The proceedings set includes a total of 277 contributions, carefully reviewed and selected from an initial pool of 836 submissions. The papers presented at ACCV 2022 covered a wide range of topics, reflecting the interdisciplinary nature of the field.

Part I: 3D Computer Vision
This section encompassed papers that focused on the development and application of 3D computer vision techniques. The contributions explored various aspects, including 3D object detection, tracking, and reconstruction, as well as optimization methods for efficient 3D vision systems.

Part II: Applications of Computer Vision
This part covered a diverse range of computer vision applications, including vision for X (e.g., augmented reality, virtual reality), computational photography, sensing, and display. The papers discussed innovative approaches to image and video processing, object recognition, and scene understanding.

Part III: Low-Level Vision, Image Processing
This section dealt with fundamental computer vision tasks such as image enhancement, restoration, and segmentation. The contributions explored advanced techniques for feature extraction, pattern recognition, and object detection, with a particular emphasis on low-level vision and image processing.

Part IV: Face and Gesture
This part explored the analysis and recognition of facial expressions, gestures, and body posture. The papers discussed state-of-the-art methods for face recognition, gesture recognition, and action estimation, with applications in human-computer interaction and surveillance systems.

Part V: Recognition: Feature Detection, Indexing, Matching, and Shape Representation
This section covered papers that focused on the development and evaluation of recognition algorithms for various computer vision tasks. The contributions explored feature detection, indexing, matching, and shape representation techniques, with applications in image retrieval, object detection, and scene understanding.

Part VI: Biomedical Image Analysis
This part explored the application of computer vision in biomedical imaging, including medical image segmentation, diagnosis, and treatment. The papers discussed advanced techniques for image analysis, such as deep learning, to extract meaningful information from medical images and aid in healthcare decision-making.

Part VII: Generative Models for Computer Vision
This section covered papers that explored the use of generative models in computer vision, including image synthesis, scene generation, and text-to-image generation. The contributions discussed the potential of these models to enhance our understanding of visual data and generate realistic images and videos.

Segmentation and Grouping
This part dealt with the analysis and segmentation of images and videos, with applications in object detection, scene understanding, and video analysis. The contributions explored various techniques for segmenting and grouping objects, including active and passive methods, and their performance in different scenarios.

Motion and Tracking
This section explored the analysis and tracking of moving objects in images and videos. The papers discussed state-of-the-art methods for object detection, tracking, and estimation, with applications in autonomous vehicles, sports analysis, and surveillance systems.

Document Image Analysis
This part explored the analysis and extraction of information from document images, including text extraction, document layout analysis, and document recognition. The contributions discussed advanced techniques for document image analysis, such as deep learning and computer vision, to automate document processing tasks.

Big Data, Large Scale Methods
This section covered papers that addressed the challenges of processing large-scale visual data, including image and video datasets. The contributions discussed efficient algorithms, data structures, and machine learning techniques for handling large-scale visual data and extracting meaningful insights.

In conclusion, the 16th Asian Conference on Computer Vision (ACCV 2022) proceedings set represents a significant contribution to the field of computer vision. The diverse range of topics covered and the high quality of the contributions demonstrate the ongoing progress and innovation in this area. The proceedings will be valuable to researchers, practitioners, and students alike, as they provide a comprehensive overview of the latest developments and trends in computer vision.

Weight: 1044g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031263187
Edition number: 1st ed. 2023