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We present a fully automatic pipeline to train 3D Morphable Models (3DMMs), with contributions in pose normalisation, dense correspondence using both shape and texture information, and high quality, high resolution texture mapping. We propose a dense correspondence system, combining a hierarchical parts-based template morphing framework in the shape channel and a refining optical flow in the texture...
The peculiarities of formation criteria, which provide adequate description of images was considered. The feature of vector-rotor functioning and invariance in special points and segment were investigated. It was received the algebraical expressions for determination of step vector as under direct action of rotor. The obtained results of modeling and investigation of values coefficients of compression...
Autonomous robots have significant potential for reconnaissance and environmental monitoring applications. Ground robots, in particular, are performing reconnaissance missions in places that are too hazardous for humans. However, these robots are constrained by energy limitations that are impacted by uncertain environments and harsh terrains. The purpose of this work is to develop methods for improving...
Malicious cloud computing activity can take many forms, including running unauthorized programs in a virtual environment. Detection of these malicious activities while preserving the privacy of the user is an important research challenge. Prior work has shown the potential viability of using cloud service billing metrics as a mechanism for proxy identification of malicious programs. Previously this...
Segmentation is a key component of several bio-medical image processing systems. Recently, segmentation methods based on supervised learning such as deep convolutional networks have enjoyed immense success for natural image datasets and biological datasets alike. These methods require large volumes of data to avoid overfitting which limits their applicability. In this work, we present a transfer learning...
Challenges that make it difficult to find, share, and combine published data, such as data heterogeneity and resource discovery, have led to increased adoption of semantic data standards and data publishing technologies. To make data more accessible, interconnected and discoverable, some domains are being encouraged to publish their data as Linked Data. Consequently, this trend greatly increases the...
The a mount of data produced in support of scientific research continues to grow rapidly. Despite the accumulation and demand for scientific data, relatively little data are actually made available for the broader scientific community. We surmise that one root of this problem is the perceived difficulty of electronically publishing scientific data and associated metadata in a way that makes it discoverable...
There is a growing need for scientists producing sensor measurements from scientific studies to make these available to global consumer scientific communities. We believe that this can largely be achieved by relying on well-established international standards bodies such as the World Wide Web Consortium (w3.org), building momentum in scientific communities to establish best practices for data publication,...
Electrocorticography (ECoG) has spectral characteristics that allow for possible efficiency improvements over traditional broadband recording of low frequency (1–150 Hz) data. In this paper we propose a spectrum-equalization technique for ECoG recording that can potentially decrease the dynamic range requirements of digitization by more than two orders of magnitude, corresponding to more than 6 bits...
The objective of this effort is to further the fundamental understanding of radiated noise emissions from consumer electronic products. A phase and time coherent method for measuring the near-fields of a device given wideband-radiating sources is used. Site sources normally used to verify chambers are chosen for this research. The design and characterization of near-field probes to perform simultaneous...
Supply-noise measurement techniques are becoming increasingly critical in modern digital design, driven by the trend toward smaller, lower-voltage domains. All-digital measurement modules capable of meeting bandwidth and resolution requirements would enable spatially fine supply voltage measurements across Systems-on-Chip. Existing implementations either use analog techniques, limiting their applicability,...
The usage rate of hardware resources in a computing system is the single largest influence on power consumption that can be impacted by software. Approaches to energy efficient scheduling on private clouds are not suitable for all situations, i.e. particularly when that approach is to consolidate VMs on as few machines as possible, a strategy that while reducing energy usage also impacts performance...
In Cloud Computing platforms the addition of hardware monitoring devices to gather power usage data can be impractical or uneconomical due to the large number of machines to be metered. CloudMonitor, a monitoring tool that can generate power models for software-based power estimation, can provide insights to the energy costs of deployments without additional hardware. Accurate power usage data leads...
Hazardous terrains pose a crucial challenge to the operation of mobile robots, especially for military applications such as surveillance, casualty extraction, etc. To enable their safe and efficient operations, it is necessary to detect the terrain type and to modify operation and control strategies in real-time. Fast wheel-terrain interaction models suitable for real-time applications are thus important...
Hazardous terrains pose a crucial challenge to the operation of mobile robots, especially for military applications such as surveillance, casualty extraction, etc. To enable their safe and efficient operations, it is necessary to detect the terrain type and to modify operation and control strategies in real-time. Fast wheel-terrain interaction models suitable for real-time applications are thus important...
It was a great privilege to be given the opportunity to be the Guest Editor of this Special Issue of papers arising from the 2008 Workshop on 3D Face Processing, held in conjunction with the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR) which took place in Anchorage, Alaska.
Direct recording of Purkinje fiber activity may lead to a better understanding of the role of the specialized conduction system in pathological cardiac conditions. Two studies were conducted in pigs to determine guidelines for effective plunge needle recording techniques. In the first experiment, Purkinje fiber activations were recorded at 16 KHz with 3 bipolar electrodes (2 mm spacing) on epoxy plunge...
Plunge needle recording techniques have provided valuable insights into transmural activation in cardiac tissue. Construction of plunge needles has been a costly and time intensive endeavor. Plunge needles constructed with standard printed circuit board (PCB) technology and methods are outlined. PCB plunge needles are less expensive in terms of raw materials and time required for construction than...
Flow field visualization is an important part of the study of fluid dynamics and ship hydrodynamics. The field of computational fluid dynamics has provided an unprecedented ability to explore the hydrodynamics of marine vehicles through visualization. Many examples of this exist in the literature for steady flow field situations. However, unsteady visualization provides both challenges and opportunities...
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