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This work is a contribution to understanding multi-object traffic scenes from video sequences. All data is provided by a camera system which is mounted on top of the autonomous driving platform AnnieWAY. The proposed probabilistic generative model reasons jointly about the 3D scene layout as well as the 3D location and orientation of objects in the scene. In particular, the scene topology, geometry as well as traffic activities are inferred from short video sequences.
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Over the past 40 years, neurobiology and computational neuroscience has proved that deeper understanding of visual processes in humans and non-human primates can lead to important advancements in computational perception theories and systems. One of the main difficulties that arises when designing automatic vision systems is developing a mechanism that can recognize - or simply find - an object when faced with all the possible variations that may occur in a natural scene, with the ease of the primate visual system. The area of the brain in primates that is dedicated at analyzing visual information is the visual cortex. The visual cortex performs a wide variety of complex tasks by means of simple operations. These seemingly simple operations are applied to several layers of neurons organized into a hierarchy, the layers representing increasingly complex, abstract intermediate processing stages. In this Research Topic we propose to bring together current efforts in neurophysiology and computer vision in order 1) To understand how the visual cortex encodes an object from a starting point where neurons respond to lines, bars or edges to the representation of an object at the top of the hierarchy that is invariant to illumination, size, location, viewpoint, rotation and robust to occlusions and clutter; and 2) How the design of automatic vision systems benefit from that knowledge to get closer to human accuracy, efficiency and robustness to variations.
Visual Cortex --- Computational neuroscence --- Computer Vision --- Neuronal modeling --- object recognition --- shape --- Attention --- Neuromorphic
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Environment perception with cameras is an important requirement for many applications for autonomous vehicles and robots. This work presents a stereoscopic omnidirectional camera system for autonomous vehicles which resolves the problem of a limited field of view and provides a 360° panoramic view of the environment. We present a new projection model for these cameras and show that the camera setup overcomes major drawbacks of traditional perspective cameras in many applications.
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This work presents a new approach for estimating 3D human poses based on monocular camera information only. For this, the Implicit Shape Model is augmented by new voting strategies that allow to localize 2D anatomical landmarks in the image. The actual 3D pose estimation is then formulated as a Particle Swarm Optimization (PSO) where projected 3D pose hypotheses are compared with the generated landmark vote distributions.
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The aim of this work was the development of new image processing methods for the analysis and optimization of rotary kiln processes. It is shown how the newly developed methods can be employed to analyze certain areas and effects of rotary kiln processes. Thereby gained new process information can be used in the process control to optimize rotary kiln processes in terms of economic and environmental objectives.
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The articles in this Research Topic provide a state-of-the-art overview of the current progress in integrating computational and empirical research on visual object recognition. Developments in this exciting multidisciplinary field have recently gained momentum: High performance computing enabled breakthroughs in computer vision and computational neuroscience. In parallel, innovative machine learning applications have recently become available for datamining the large-scale, high resolution brain data acquired with (ultra-high field) fMRI and dense multi-unit recordings. Finally, new techniques to integrate such rich simulated and empirical datasets for direct model testing could aid the development of a comprehensive brain model. We hope that this Research Topic contributes to these encouraging advances and inspires future research avenues in computational and empirical neuroscience.
object recognition --- computational neuroscience --- Computer Vision --- fMRI --- Neurophysiology --- Feature representation --- ventral visual pathway --- invariance --- neural networks --- multimodal data integration
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Image processing in agriculture and forestry represents a challenge towards the automation of tasks for better performances. Agronomists, computer and robotics engineers, and agricultural machinery industry manufacturers now have at their disposal a book containing a collection of methods, procedures, designs, and descriptions at the technological forefront, which serves as an important support and aid for the implementation and development of their own ideas.The book describes: (1) Applications (canopy on trees, aboveground biomass, phenotyping, chlorophyll, leaf area index, water and nutrient content, land cover change, soil properties, and secure autonomous navigation); (2) Imaging devices onboard robots, unmanned aerial vehicles (UAVs), and satellites operating at different spectral ranges (visible, infrared, hyper-multispectral bands, and radar), as well as guidelines for selecting machine vision systems in outdoor environments; and (3) (Specific computer vision methods (generic and convolutional neural networks, machine learning, specific segmentation approaches, vegetation indices, and three-dimensional (3D) reconstruction).
agriculture --- forestry --- machine-vision --- image processing --- computer vision --- vegetation index --- aboreground biomass --- leaf area index --- biophysical variables --- autonomous navigation
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Extended object tracking deals with estimating the shape and pose of an object based on noisy point measurements. This task is not straightforward, as we may be faced with scarce low-quality measurements, little a priori information, or we may be unable to observe the entire target. This work aims to address these challenges by incorporating ideas from active contours and exploiting information from negative measurements, which tell us where the target cannot be.
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This open access book constitutes the refereed proceedings of the 6th Asian Supercomputing Conference, SCFA 2020, which was planned to be held in February 2020, but unfortunately, the physical conference was cancelled due to the COVID-19 pandemic. The 8 full papers presented in this book were carefully reviewed and selected from 22 submissions. They cover a range of topics including file systems, memory hierarchy, HPC cloud platform, container image configuration workflow, large-scale applications, and scheduling.
Computer Systems Organization and Communication Networks --- Image Processing and Computer Vision --- Control Structures and Microprogramming --- Input/Output and Data Communications --- Operating Systems --- Information Systems and Communication Service --- Computer Engineering and Networks --- Computer Vision --- Database Management System --- computer hardware --- computer networks --- computer systems --- distributed computer systems --- distributed systems --- embedded systems --- hpc --- image processing --- microprocessor chips --- network protocols --- parallel architectures --- parallel processing systems --- processors --- signal processing --- telecommunication networks --- telecommunication systems --- telecommunication traffic --- open access --- Computer networking & communications --- Image processing --- Computer vision --- Algorithms & data structures --- Distributed databases --- Operating systems
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This open access book constitutes the proceedings of the 12th International Conference on Human Haptic Sensing and Touch Enabled Computer Applications, EuroHaptics 2020, held in Leiden, The Netherlands, in September 2020. The 60 papers presented in this volume were carefully reviewed and selected from 111 submissions. The were organized in topical sections on haptic science, haptic technology, and haptic applications. This year's focus is on accessibility.
User Interfaces and Human Computer Interaction --- Robotics --- Special Purpose and Application-Based Systems --- Information Systems Applications (incl. Internet) --- Image Processing and Computer Vision --- Computer and Information Systems Applications --- Computer Vision --- communication systems --- computer networks --- data communication systems --- display devices --- engineering --- haptic devices --- haptic interfaces --- human engineering --- Human-Computer Interaction (HCI) --- mobile computing --- network protocols --- robotics --- signal processing --- telecommunication networks --- user interfaces --- virtual reality --- wireless telecommunication systems --- User interface design & usability --- Artificial intelligence --- Expert systems / knowledge-based systems --- Information retrieval --- Internet searching --- Image processing --- Computer vision
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