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Determining image quality is dependent to some degree on human interpretation. Although entirely subjective methods of evaluating image quality may be adequate for consumer applications, they are not acceptable for security and safety applications where
In this paper we report the results of the SHREC 2014 track on automatic location of landmarks used in manual anthropometry. The track has been organized to test the ability of modern computational geometry/pattern recognition techniques to locate
Large scale sketch-based 3D shape retrieval has received more and more attentions in the community of content- based 3D object retrieval. The objective of this track is to evaluate the performance of different sketch-based 3D model retrieval algorithms
The objective of this track is to evaluate the performance of 3D shape retrieval approaches on a large-sale com- prehensive 3D shape database which contains different types of models, such as generic, articulated, CAD and architecture models. The track is
This contribution reports the results of the SHREC 2014 track: Retrieval and classification on textured 3D models, whose goal is to evaluate the performance of retrieval algorithms when models vary either by geometric shape or texture, or both. The
We have created a new benchmarking dataset for testing non-rigid 3D shape retrieval algorithms, one that is much more challenging than existing datasets. Our dataset features exclusively human models, in a variety of body shapes and poses. 3D models of
We discuss the application of recently developed 670 GHz low-noise amplifiers based on InP HEMTs to passive indoor imaging. Packaged LNAs were integrated with commercial zero-bias diodes, and accurate measurements of system noise-equivalent temperature
Bryan M. Barnes, Francois R. Goasmat, Martin Y. Sohn, Hui Zhou, Richard M. Silver, Andras Vladar, Abraham Arceo
We have previously introduced a new data analysis method that more thoroughly utilizes scattered optical intensity data collected during defect inspection using bright-field microscopy. This volumetric approach allows conversion of focus resolved 2-D
Summary: The iPhone liquid crystal displays allows efficient and accurate calibration of an inexpensive array of handheld microscopes for measuring microscopic dynamic events over a large field of view. How does one build an inexpensive array of handheld
Texture compression is widely used in real-time rendering to reduce storage and bandwidth requirements. Recent research in compression algorithms has explored both reduced fixed bit rate and variable bit rate algorithms. The results are evaluated at the
John M. Libert, Shahram Orandi, John D. Grantham, Michael D. Garris
This study examines the use of the NIST Spectral Image Validation and Verification (SIVV) metric for the application of detecting the sample rate of a given fingerprint digital image. SIVV operates by reducing an input image to a 1-dimensional power
P J. Phillips, Alice O'Toole, Vaidehi Natu, Xiaobo An, Rice Allyson, James Ryland
The neural organization of person processing relies on brain regions functionally selective for faces or bodies, with a subset of these regions preferring moving stimuli. Although the response properties of the individual areas are well established, less
In this paper, we present a Support Vector Machine (SVM) based pixel classifier for a semi-automated segmentation algorithm to detect neuronal membrane structures in stacks of electron microscopy images of brain tissue samples. This algorithm uses high-
In this research, we present an (semi-) automated segmentation algo-rithm using a Support Vector Machine classifier. This algorithm uses a high-dimensional feature space generated from patch-based multiple-features and a training dataset in order to detect
Sketch-based 3D shape retrieval has become an important research topic in content-based 3D object retrieval. To foster this research area, two Shape Retrieval Contest (SHREC) tracks on this topic have been organized by us in 2012 and 2013 based on a small
A prototype to translate web graph and map images into 3D printed models in order to give the blind and visually impaired access to voting and election information.
Domain adaptation algorithms aim at handling the shift between source and target domains. A classifier is trained on images from the source domain; and the classifier recognizes objects in images from the target domain. In this paper, we present a joint
A web based system that allows the user to select, sort, and measure 3D bodies using displays inside of ordinary web browsers without the use of 3D plug-ins is presented. Our system, AnthroWeb3DMeasure (AW3DM), allows the user to visually explore a set of
With recent advances in imaging technologies large numbers of bioimages are currently being acquired. Automated classification of these bio-images is a very important and challenging problem. Here we investigate the capabilities of local features and the
Bryan M. Barnes, Martin Y. Sohn, Francois R. Goasmat, Hui Zhou, Andras Vladar, Richard M. Silver, Abraham Arceo
Identifying defects in photolithographic patterning is a persistent challenge in semiconductor manufacturing. Well-established optical methods in current use are jeopardized by upcoming sub-20 nm device dimensions. Volumetric processing of focus-resolved
How does one inspect terabyte-sized 3D images visually from multiple viewpoints? The current solutions are limited to gigabyte-sized images using specialized hardware to achieve interactivity and lacking the ability to share data for collaborative research
This work addresses the problem of re-projecting a terabyte-sized 3D data set represented as a set of 2D Deep Zoom pyramids. In general, a re-projection for small 3D data sets is executed directly in RAM. However, RAM becomes a limiting factor for terabyte
Peter Bajcsy, Antoine Vandecreme, Julien M. Amelot, Phuong T. Nguyen, Joe Chalfoun, Mary C. Brady
We present a characterization of four basic terabyte size image computations on a Hadoop cluster in terms of their relative efficiency according to the modified Amdahls law. The work is motivated by the fact that there is a lack of standard benchmarks and
Jing Qin, Richard M. Silver, Bryan M. Barnes, Hui Zhou, Francois R. Goasmat
There has been much recent work in developing advanced optical metrology methods that use imaging optics for critical dimension measurements and defect detection. Sensitivity to nanometer scale changes has been observed when measuring critical dimensions
John M. Libert, Shahram Orandi, Michael D. Garris, John D. Grantham
As part of NISTs investigative efforts to support development of the FBI Next Generation Identification (NGI) systems, this investigation evaluates effects on image fidelity of wavelet transform decomposition and quality layer options for JPEG 2000