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

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: 665 pages
Publication date: 23 February 2023
Publisher: Springer International Publishing AG

The 16th Asian Conference on Computer Vision (ACCV 2022) was held in Macao, China, from December 2022, spanning a remarkable seven-volume set of LNCS 13841-13847. This comprehensive collection of proceedings encompasses a remarkable 277 contributions, carefully reviewed and selected from an initial pool of 836 submissions, following two rigorous rounds of reviewing and refinement.

The conference's diverse range of topics covered a wide spectrum of computer vision research, encompassing three distinct parts:

Part I: 3D Computer Vision: This section delves into the exploration of 3D vision, focusing on techniques such as 3D object detection, reconstruction, and tracking. It also encompasses optimization methods and applications in various fields, including robotics, medical imaging, and gaming.

Part II: Applications of Computer Vision: This part encompasses a wide array of computer vision applications, including vision for X (e.g., augmented reality, virtual reality), computational photography, sensing, and display. It explores innovative techniques for image and video processing, object recognition, and scene understanding.

Part III: Low-Level Vision, Image Processing: This section focuses on fundamental aspects of computer vision, including image acquisition, preprocessing, feature extraction, and pattern recognition. It explores algorithms for image restoration, segmentation, and object detection, with an emphasis on real-time performance and efficiency.

Part IV: Face and Gesture: This part explores the analysis and recognition of facial expressions, gestures, and body posture. It covers techniques for face detection, gesture recognition, pose estimation, and action recognition, with applications in human-computer interaction, surveillance, and entertainment.

Part V: Recognition: This section encompasses various recognition tasks, including feature detection, indexing, matching, and shape representation. It discusses state-of-the-art algorithms for image and video analysis, including object tracking, scene understanding, and facial recognition.

Part VI: Biomedical Image Analysis: This part focuses on the application of computer vision in biomedical imaging, including medical imaging, histopathology, and dermatology. It explores techniques for image segmentation, feature extraction, and disease diagnosis, with an emphasis on improving healthcare outcomes.

Part VII: Deep Learning for Computer Vision: This section explores the use of deep learning techniques in computer vision, including convolutional neural networks, recurrent neural networks, and generative models. It covers topics such as image classification, object detection, and scene understanding, with an emphasis on improving the accuracy and efficiency of computer vision systems.

Furthermore, the conference proceedings also include dedicated sections on datasets and performance analysis, biomedical image analysis, deep learning for computer vision, generative models for computer vision, segmentation and grouping, motion and tracking, document image analysis, big data, and large-scale methods.

The contributions presented at ACCV 2022 represent the latest advancements in computer vision research, covering a wide range of applications and domains. The conference provided a platform for researchers, practitioners, and industry experts to exchange ideas, share expertise, and collaborate on developing innovative solutions for real-world problems.

Overall, the 16th Asian Conference on Computer Vision (ACCV 2022) proceedings set serves as a valuable resource for the computer vision community, providing a comprehensive overview of the latest research trends, techniques, and applications. It serves as a testament to the vibrant and dynamic nature of this field and its significant contributions to advancing technology and society.

Weight: 1038g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031262838
Edition number: 1st ed. 2023