3-D Imaging Research Papers - Academia.edu (original) (raw)

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- Dentistry, Nonparametric Statistics, Cleft Palate, Face

The spectral-photometric IR camera SPICA is proposed as one of the German science instruments of the Stratospheric Observatory for IR Astronomy (SOFIA). It will cover a wavelength range of 20-220 micrometers with three large area detector arrays. With the 2.5 m SOFIA telescope, SPICA will provide unprecedented diffraction limited spatial resolution in the far-IR. In addition, low resolution 3D-imaging spectroscopy is planned. While the silicon array will be commercially available, the germanium arrays are being developed, including their cryogenic multiplexers. The overall instrument concept, its camera optics and the status of the detector development will be presented. The instrument is being developed by the DLR Institute of Space Sensor Technology in Berlin with support of several German and US partners.

- by Josef Schubert and +1
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- Instrumentation Engineering, Infrared Astronomy, Astronomy, 3-D Imaging
- by Ganbat Baasantseren
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- Holography, 3-D Imaging
- by dan dan
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- Nuclear medicine, New Technology, 3-D Imaging, Clinical Sciences
- by Holger Schmitt and +1
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- Algorithms, Biomedical Engineering, Medical Imaging, Particle Image Velocimetry
- by Parnian Kasae
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- Physics, Image Processing, Quantitative analysis, 3-D Imaging
- by Robert Sablatnig
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- Mechanical Engineering, Mathematics, Computer Science, Computer Graphics
- by David Simmons
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- Dentistry, Oral and Maxillofacial Surgery, 3-D Imaging

An investigation to localise facial landmarks from 3D images is presented, without using any assumption concerning facial pose. This paper introduces new surface descriptors, which are derived from either unstructured face data, or a radial basis function (RBF) model of the facial surface. Two new variants of feature descriptors are described, generally named as point - triplet descriptors because they require three vertices to be computed. The first is related to the classical depth map feature, which is referred to as weighted - interpolated depth map. The second variant of descriptors are derived from an implicit RBF model, they are referred to as surface RBF signature (SRS) features. Both variants of descriptors are able to encode surface information within a triangular region defined by a point - triplet into a surface signature, which could be useful not only for 3D face processing but also within a number of graph based retrieval applications. These descriptors are embedded into a system designed to localise the nose - tip and two inner - eye corners. Landmark localisation performance is reported by computing errors of estimated landmark locations against our respective ground --truth data from the Face Recognition Grand Challenge (FRGC) database.

- by Marcelo Romero
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- Radial Basis Function, System Design, 3-D Imaging, Face processing
- by Andrew Tweedie
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- Array Signal Processing, 3-D Imaging, Ultrasonics, Data Collection
- by Martha Chekenya and +2
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- Algorithms, Biomedical Engineering, Confocal Microscopy, Computer Simulation
- by Philipp J Stolka
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- Computed Tomography, 3-D Imaging, Data Access, Gold Standard

Page 1. Advanced pixel design for infrared 3D LADAR imaging Fabrice Guellec, Michaël Tchagaspanian Eric de Borniol, Pierre Castelein, André Perez, Johan Rothman CEA Leti – MINATEC, 17 rue des Martyrs, 38054 Grenoble Cedex 9, France... more

- by André Perez
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- Engineering, LiDAR, Stereoscopy, Optical Imaging
- by I. Weber
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- Interplanetary dust, 3-D Imaging, Solar System, Atomic Force Microscope
- by Peter Seitz
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- Computer Vision, Machine Vision, 3-D Imaging, Time of Flight
- by Guido Gerig
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- Cognitive Science, Computer Vision, Image Processing, Visualization
- by Zhaoyang Wang
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- 3-D Imaging, Calibration, Phase Unwrapping, Optical physics
- by Veronika Schöpf
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- POlymer degradation and stability, Brain Mapping, Humans, 3-D Imaging
- by Christine Chappard
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- Computed Tomography, Magnetic Resonance Imaging, Anisotropy, Osteoporosis
- by deepak pradhan
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- 3-D Imaging, Clinical Sciences
- by Frank Lindseth
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- Algorithms, Ultrasound, Humans, 3-D Imaging

... 7 Conclusions In this paper, we have proposed a geometry-based image representation scheme and an algo-rithm/function for retrieving i&D images of relevance (based on spatial similarity) to ... The algorithm is robust-in the sense... more

- by Gwang Jung
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- Computer Science, Information Retrieval, Graph Theory, Interior Design
- by Hana Huang
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- Marketing, Chemical Engineering, Optical Engineering, Bioinformatics
- by Jacob Furst
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- Image Processing, 3-D Imaging, Heart, Experimental Study
- by G. Santarato and +2
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- Engineering, Civil Engineering, Engineering Geology, 3-D Imaging
- by Michel Jourlin
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- Cognitive Science, X-ray imaging, Image segmentation, Region growing
- by Sunil Tholpady
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- Computed Tomography, Morphometrics, Geometric Morphometrics, Cleft Palate

The emerging cloud gaming service has been growing rapidly, but not yet able to reach mobile customers due to many limitations, such as bandwidth and latency. We introduce a 3D image warping assisted real-time video coding method that can potentially meet all the requirements of mobile cloud gaming. The proposed video encoder selects a set of key frames in the video sequence, uses the 3D image warping algorithm to interpolate other non-key frames, and encodes the key frames and the residues frames with an H. ...

- by Roy Campbel
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- Video Coding, Quality Improvement, 3-D Imaging, Mobile Device
- by Massimo Tistarelli
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- Computer Vision, Pattern Recognition, Face Recognition, Access Control
- by Giovanna Sansoni
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- Analytical Chemistry, Cultural Heritage, Reverse Engineering, Virtual Reality
- by Hubert Cardot
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- Comparative Study, 3-D Imaging, Active Contour, Differential equation
- by Xinhui Duan
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- Computed Tomography, X Rays, 3-D Imaging, Digital Radiography

Validation studies of the new DentalPrintr software were carried out with experimental bite marks in pigskin. The bite marks were
digitally photographed according to the ABFO guidelines for evidence collection. Dental casts used in the experiment were scanned in 3D and 2D,
and comparison overlays were generated using DentalPrintr and Adobes Photoshops software, respectively. Digitized photographs of the
experimental bite marks and the biting edges obtained in the overlays were compared by two different examiners to analyze the impact of training
and experience with the two methods. Receiver operating characteristic (ROC) analysis, sensitivity, specificity, and 95% confidence intervals for
each cutoff point were calculated. The expert examiner using DentalPrintr obtained the best results, with an area under the ROC curve of 0.76
(SE 5 0.057; CI at 95% 5 0.652–0.876). Fairly high specificity values were found for DentalPrintr, and the best results were obtained for the
cutoff value that discriminated between the examiner’s response ‘‘biter’’ and the rest of the possible (specificity 97.9%, CI at 95% 5 93.2%–
99.6%). Therefore, the results presented here indicate that DentalPrintr is a useful, accurate tool for forensic purposes, although further research
on the comparison process is needed to enhance the validity of bite mark analysis.

- by Juan Carlos Torres
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- Forensic Science, FORENSIC, Software, Forensic Sciences
- by Padhraig O'Loughlin
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- Spine, Computer assisted orthopaedic surgery, Humans, 3-D Imaging
- by Osman Ratib
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- Computer Science, Computer Graphics, Software Engineering, Human Computer Interaction
- by Tim Schmidt
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- Mechanical Engineering, Civil Engineering, Image Processing, Data Compression
- by Bosko Jovanovic
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- Computer Science, Matlab, Image Quality, 3-D Imaging
- by Bret Swan
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- Human Computer Interaction, HCI, 3-D Imaging, Kinect
- by M. Garreau and +1
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- Technology, Computed Tomography, Multi Agent System, Biological Sciences
- by Jeryl English
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- Algorithms, Humans, 3-D Imaging, Three Dimensional Imaging
- by Edith Filion
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- Humans, Child, Kidney, Liver

As technologies for acquiring 3D data and algorithms for constructing integrated models evolve, very large data sets representing objects or environments are emerging in various application areas. As a result, significant research in computer graphics has aimed to interactively render such models on affordable commodity computers. Interest is growing in the possibility of integrating real-time analysis and transformation tools in interactive visualization environments as they become more available.

- by mona lisa
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- Cognitive Science, Computer Graphics, Visualization, Data Analysis
- by Toril Hernes
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- Algorithms, Ultrasound, Humans, 3-D Imaging
- by Andrzej Materka
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- Algorithms, Biomedical Engineering, Image segmentation, Quantitative analysis

Potential applications of volume rendering in musculo-skeletal disorders Three dimensional imaging is increasingly important for evaluation of anatomic relationships and extent of disease, for treatment planning and for follow-up evaluation. The volume rendering technique allows creation of accurate 3D images that can be used for several clinical applications especially in musculo-skeletal disorders such as evaluation of tumors or fractures. This

- by Thomas Ludig
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- 3-D Imaging, Three Dimensional Imaging, 3-D Reconstruction, Volume Rendering
- by Aimen Hassani
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- Computer Science, Artificial Intelligence, Biomedical Engineering, Medicine
- by Anestis Koutsoudis
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- Archaeology, Digital Humanities, Spatial Analysis, Cultural Heritage

Object This article describes a method for automated extraction of branching structures in three dimensional (3D) medical images. Materials and methods The algorithm recursively tracks branches and detects bifurcations by analyzing the binary connected components on the surface of a sphere that moves along the vessels. Local segmentation within the sphere is performed using a clustering algorithm based on both geometric and intensity information. It minimizes a combination of the intra-class intensity variances and of the inertia moment of the “vessel” class, which emphasizes the cylindrical structures. The algorithm was applied to 16 MRA and 12 CTA 3D images of different anatomic regions. Its capability of extracting all the branches and avoiding spurious detections was evaluated by comparing the number of extracted branches with the number of branches found by visual inspection of the datasets. Its reproducibility and sensitivity to parameter variation were also assessed. Results With a fixed parameter setting, 68 out of 286 perceptible branches were missed or partly extracted and 11 spurious branches were obtained. Increasing the weight of the geometric criterion helped in tracking the principal branches in noisy data but increased the number of missed branches. Processing time was within 5 min per dataset. Conclusion From one initial point, the algorithm extracts a vascular tree where the differences of size and of intensity between the branches are not large. Missed sub-trees can be recovered using additional starting points.

- by Eduardo Davila
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- Image Processing, 3-D Imaging, Three Dimensional Imaging, Clinical Sciences