The State University of New York

Zortag Inc.

Toyota Motor Engineering & Manufacturing North America, Inc.

Gi, LLC

Xianfeng David Gu

Arie E Kaufman

Satya Prakash Sharma

Robert James Hart

Yuyang Song

Yuqing Zhou

Joseph Marino

Shing-Tung Yau

Dale Owen Royer

Song Zhang

Yalin Wang

Lingfeng Gao

Shikui Chen

Wei Hong

Feng Qiu

Masato Tanaka

Wei Zeng

Zhou Zhao

Systems, methods, and other embodiments described herein relate to multiple three-dimensional (3D) structures formation from a network of circularly-packed structural elements. In one embodiment, a system includes a circularly-packed network of structural elements that form multiple 3D structures. Diameters of the structural elements define a shape of the 3D structures. The circularly-packed network is adaptable to form 1) a first 3D structure and 2) a second 3D structure with a different shape than the first 3D structure. The system also includes a set of joints that connect adjacent structural elements.

Systems and methods for forming multiple 3D structures from a circularly-packed network of structural elements

A computer-based method for generating a context preserving mapping of tubular structures represented by a 3D dataset having the steps of projecting a skeleton of a 3D tubular structure on to a 2D plane, and adjusting the projected skeleton to correct projection imbued distortion in skeleton length. The 2D projected skeleton is processed to remove intersections, and a surface boundary around the 2D skeleton is determined for the map. The 3D surface of the skeleton is mapped to match the 3D boundary to create a 3D map of the tubular structure.

System and method for context preserving maps of tubular structures

A method of, and a system and a label for, authenticating an object in situ create an authentication pattern signature for the object to be authenticated, associate a random distribution of multiple, three-dimensional elements with the object, aim a portable, handheld, image capture device at the object to capture return light from the elements as a single image, verify from the single image that the elements are three-dimensional, process the single image to generate an image pattern of the elements, compare the image pattern with the authentication pattern signature, and indicate that the object is authentic when the image pattern matches the authentication pattern signature.

Method of, and system and label for, authenticating objects in situ

In the present methods, the automatic detection of polyps is converted into a 2D pattern recognition problem using conformal mapping and direct volume rendering. The colon surface is first segmented and extracted from the CT data set of the abdomen, which is then mapped to a 2D plane using conformal mapping. Ray casting is used to determine sub-surface density values and the flattened image is rendered using a volume rendering technique with a translucent electronic biopsy transfer function. Polyp candidates are detected by a clustering method which identifies regions of elevated sub-surface density. The potential for false positives is reduced by analyzing the volumetric shape and texture features of the polyp candidate regions.

System and method for computer aided polyp detection

A method and associated apparatus for capturing an image of a 3D object () which encodes the surface geometry of at least a portion of the object, comprising: 1. projecting () a plurality of fringe patterns (A,A) onto the object; 2. capturing () phase alterations in reflections of the fringe patterns (B,B) from the object; 3. projecting a uniform image (A) onto the object; 4. capturing a reflection of the uniform image (B) from the object; and 5. combining () captured phase alterations and captured uniform image reflection on a pixel-by-pixel basis, thereby forming a holoimage representation of the object.

Method and apparatus for absolute-coordinate three-dimensional surface imaging

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Plainview, NY, United States of America

Xianfeng David Gu