Multimodal Panoptic Segmentation Of 3d Point Clouds
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| Author | : Dürr, Fabian |
| Publisher | : KIT Scientific Publishing |
| Total Pages | : 248 |
| Release | : 2023-10-09 |
| Genre | : |
| ISBN | : 3731513145 |
The understanding and interpretation of complex 3D environments is a key challenge of autonomous driving. Lidar sensors and their recorded point clouds are particularly interesting for this challenge since they provide accurate 3D information about the environment. This work presents a multimodal approach based on deep learning for panoptic segmentation of 3D point clouds. It builds upon and combines the three key aspects multi view architecture, temporal feature fusion, and deep sensor fusion.
| Author | : Shai Avidan |
| Publisher | : Springer Nature |
| Total Pages | : 807 |
| Release | : 2022-11-11 |
| Genre | : Computers |
| ISBN | : 3031200748 |
The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
| Author | : Aleš Leonardis |
| Publisher | : Springer Nature |
| Total Pages | : 588 |
| Release | : |
| Genre | : |
| ISBN | : 3031736613 |
| Author | : Qingshan Liu |
| Publisher | : Springer Nature |
| Total Pages | : 526 |
| Release | : 2024-01-29 |
| Genre | : Computers |
| ISBN | : 9819985439 |
The 13-volume set LNCS 14425-14437 constitutes the refereed proceedings of the 6th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2023, held in Xiamen, China, during October 13–15, 2023. The 532 full papers presented in these volumes were selected from 1420 submissions. The papers have been organized in the following topical sections: Action Recognition, Multi-Modal Information Processing, 3D Vision and Reconstruction, Character Recognition, Fundamental Theory of Computer Vision, Machine Learning, Vision Problems in Robotics, Autonomous Driving, Pattern Classification and Cluster Analysis, Performance Evaluation and Benchmarks, Remote Sensing Image Interpretation, Biometric Recognition, Face Recognition and Pose Recognition, Structural Pattern Recognition, Computational Photography, Sensing and Display Technology, Video Analysis and Understanding, Vision Applications and Systems, Document Analysis and Recognition, Feature Extraction and Feature Selection, Multimedia Analysis and Reasoning, Optimization and Learning methods, Neural Network and Deep Learning, Low-Level Vision and Image Processing, Object Detection, Tracking and Identification, Medical Image Processing and Analysis.
| Author | : Rui Fan |
| Publisher | : Springer Nature |
| Total Pages | : 391 |
| Release | : 2023-10-06 |
| Genre | : Technology & Engineering |
| ISBN | : 981994287X |
Discover the captivating world of computer vision and deep learning for autonomous driving with our comprehensive and in-depth guide. Immerse yourself in an in-depth exploration of cutting-edge topics, carefully crafted to engage tertiary students and ignite the curiosity of researchers and professionals in the field. From fundamental principles to practical applications, this comprehensive guide offers a gentle introduction, expert evaluations of state-of-the-art methods, and inspiring research directions. With a broad range of topics covered, it is also an invaluable resource for university programs offering computer vision and deep learning courses. This book provides clear and simplified algorithm descriptions, making it easy for beginners to understand the complex concepts. We also include carefully selected problems and examples to help reinforce your learning. Don't miss out on this essential guide to computer vision and deep learning for autonomous driving.
| Author | : Yuan Tian |
| Publisher | : Springer Nature |
| Total Pages | : 258 |
| Release | : |
| Genre | : |
| ISBN | : 9819743877 |
| Author | : IEEE Staff |
| Publisher | : |
| Total Pages | : |
| Release | : 2021-06-20 |
| Genre | : |
| ISBN | : 9781665445108 |
CVPR is the premier annual computer vision event comprising the main conference and several co located workshops and short courses With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers
| Author | : Andrea Vedaldi |
| Publisher | : Springer Nature |
| Total Pages | : 839 |
| Release | : 2020-11-11 |
| Genre | : Computers |
| ISBN | : 3030585654 |
The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic. The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
| Author | : Christian Rathgeb |
| Publisher | : Springer Nature |
| Total Pages | : 487 |
| Release | : 2022-01-31 |
| Genre | : Computers |
| ISBN | : 3030876640 |
This open access book provides the first comprehensive collection of studies dealing with the hot topic of digital face manipulation such as DeepFakes, Face Morphing, or Reenactment. It combines the research fields of biometrics and media forensics including contributions from academia and industry. Appealing to a broad readership, introductory chapters provide a comprehensive overview of the topic, which address readers wishing to gain a brief overview of the state-of-the-art. Subsequent chapters, which delve deeper into various research challenges, are oriented towards advanced readers. Moreover, the book provides a good starting point for young researchers as well as a reference guide pointing at further literature. Hence, the primary readership is academic institutions and industry currently involved in digital face manipulation and detection. The book could easily be used as a recommended text for courses in image processing, machine learning, media forensics, biometrics, and the general security area.
| Author | : Francois Pomerleau |
| Publisher | : |
| Total Pages | : 122 |
| Release | : 2015-05-27 |
| Genre | : Technology & Engineering |
| ISBN | : 9781680830248 |
Deals with the topic of geometric registration in robotics. It provides a historical perspective of the registration problem and shows that the various solutions available can be organized and differentiated in a framework according to a few elements. It also reviews a few applications of this framework in mobile robotics.
