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Facial Texture Super-Resolution by Fitting 3D Face Models
  • Language: en
  • Pages: 232

Facial Texture Super-Resolution by Fitting 3D Face Models

This book proposes to solve the low-resolution (LR) facial analysis problem with 3D face super-resolution (FSR). A complete processing chain is presented towards effective 3D FSR in real world. To deal with the extreme challenges of incorporating 3D modeling under the ill-posed LR condition, a novel workflow coupling automatic localization of 2D facial feature points and 3D shape reconstruction is developed, leading to a robust pipeline for pose-invariant hallucination of the 3D facial texture.

Video-to-Video Face Recognition for Low-Quality Surveillance Data
  • Language: en
  • Pages: 180

Video-to-Video Face Recognition for Low-Quality Surveillance Data

The availability of video data is an opportunity and a challenge for law enforcement agencies. Face recognition methods can play a key role in the automated search for persons in the data. This work targets efficient representations of low-quality face sequences to enable fast and accurate face search. Novel concepts for multi-scale analysis, dataset augmentation, CNN loss function, and sequence description lead to improvements over state-of-the-art methods on surveillance video footage.

High-speed surface profilometry based on an adaptive microscope with axial chromatic encoding
  • Language: en
  • Pages: 202

High-speed surface profilometry based on an adaptive microscope with axial chromatic encoding

An adaptive microscope with axial chromatic encoding is designed and developed, namely the AdaScope. With the ability to confocally address any locations within the measurement volume, the AdaScope provides the hardware foundation for a cascade measurement strategy to be developed, dramatically accelerating the speed of 3D confocal microscopy.

iSensor and iMedicine for human health
  • Language: en
  • Pages: 205

iSensor and iMedicine for human health

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Geology of Granites and Their Metallogenetic Relations
  • Language: en
  • Pages: 976

Geology of Granites and Their Metallogenetic Relations

  • Type: Book
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  • Published: 1984
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  • Publisher: Unknown

None

Machine Vision
  • Language: en
  • Pages: 802

Machine Vision

  • Type: Book
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  • Published: 2015-10-01
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  • Publisher: Springer

The book offers a thorough introduction to machine vision. It is organized in two parts. The first part covers the image acquisition, which is the crucial component of most automated visual inspection systems. All important methods are described in great detail and are presented with a reasoned structure. The second part deals with the modeling and processing of image signals and pays particular regard to methods, which are relevant for automated visual inspection.

Proceedings of the 2013 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory
  • Language: en
  • Pages: 186

Proceedings of the 2013 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory

This book is a collection of 13 review technical reports summarizing the presentations at the 2013 Joint Workshop of Fraunhofer IOSB and the Vision and Fusion Laboratory at KIT Karlsruhe, made by the students of the both institutions. The topics include image processing, visual inspection, pattern recognition and classification, planning and decision-making, human-machine interaction, world modeling, and optical signal processing.

Pattern Recognition
  • Language: en
  • Pages: 306

Pattern Recognition

The book offers a thorough introduction to Pattern Recognition aimed at master and advanced bachelor students of engineering and the natural sciences. Besides classification - the heart of Pattern Recognition - special emphasis is put on features, their typology, their properties and their systematic construction. Additionally, general principles that govern Pattern Recognition are illustrated and explained in a comprehensible way. Rather than presenting a complete overview over the rapidly evolving field, the book is to clarifies the concepts so that the reader can easily understand the underlying ideas and the rationale behind the methods. For this purpose, the mathematical treatment of Pa...

Principles of Catastrophic Forgetting for Continual Semantic Segmentation in Automated Driving
  • Language: en
  • Pages: 236

Principles of Catastrophic Forgetting for Continual Semantic Segmentation in Automated Driving

Deep learning excels at extracting complex patterns but faces catastrophic forgetting when fine-tuned on new data. This book investigates how class- and domain-incremental learning affect neural networks for automated driving, identifying semantic shifts and feature changes as key factors. Tools for quantitatively measuring forgetting are selected and used to show how strategies like image augmentation, pretraining, and architectural adaptations mitigate catastrophic forgetting.

Multimodal Panoptic Segmentation of 3D Point Clouds
  • Language: en
  • Pages: 248

Multimodal Panoptic Segmentation of 3D Point Clouds

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.