Patents by Inventor Adrian Ilie

Adrian Ilie has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10401804
    Abstract: CAD modeling method, system, and apparatus provide an on-demand mate controller for controlling settings of mating relationships in a CAD model. The names of mates of a CAD model assembly are auto-populated into an ordered list in the mate controller. The mate controller enables user interactive re-ordering of the listed names. With the mate controller, a user may temporarily unlock a mate, visually position assembly components, and relock the mate resulting in refined mate settings and degrees of freedom of assembly components. The mate controller enables a user to interactively change order of positions of the model assembly which in turn affects order of position changes in motion studies of the model assembly. The mate controller saves per position data of the model assembly including mate values and component degrees of freedom. The saved per position data can be readily used to create animations.
    Type: Grant
    Filed: November 29, 2016
    Date of Patent: September 3, 2019
    Assignee: Dassault Systemes SolidWorks Corporation
    Inventors: Donald Van Zile, III, Zheng Ye, Adrian Ilie
  • Publication number: 20170243522
    Abstract: Radiation-free simulator systems and methods for simulating fluoroscopic procedures or other medical procedures are provided. Simulator systems, methods and computer readable media are provided, comprising a physical, anatomical model of an anatomy of interest, at least one or more video camera positioned proximate the anatomical model and configured to transmit a live video feed or image of the anatomical model, a computer configured for combining a recorded video feed or 2D rendering of a 3D dataset of an actual anatomical area of interest with the live video feed or image of the anatomical model to form a composite image or video, and a display configured to display the composite image or video. A simulated fluoroscopic procedure can be performed on the anatomical model without radiation, and the simulated fluoroscopic procedure is viewable on the display.
    Type: Application
    Filed: March 9, 2017
    Publication date: August 24, 2017
    Inventors: Richard Harry FEINS, Hadley Kitchin WILSON, Dumitru Adrian ILIE
  • Publication number: 20070098288
    Abstract: A method enhances a low quality video. An input video Vjin is acquired of a scene under uncontrolled illumination. The input video Vjin is smoothed to produce a noise-reduced video Sj. Temporal gradients Gtj (x, y) are determined for each frame j of the noise reduced video Sj. The gradients Gtj (x, y) are thresholded to generate a binary mask Mj(x, y). For each frame, weights are determined according Wj (x, y)=F(Mk(x, y), and a spatial gradient field is determined according to Gxyj (x, y). Then, an output video Vjout is constructed from the spatial gradient field Gxyj.
    Type: Application
    Filed: March 19, 2003
    Publication date: May 3, 2007
    Inventors: Ramesh Raskar, Adrian Ilie
  • Patent number: 7103227
    Abstract: A method enhances images of a naturally illuminated scene. First, a set of images Ii(x, y) is acquired of a scene. Each image is acquired under a different uncontrolled illumination. For each image Ii(x, y), intensity gradients ?Ii(x, y) are determined, and each image is weighted with weights according to the intensity gradients. The weighted images are then combined to construct an enhanced image I?.
    Type: Grant
    Filed: March 19, 2003
    Date of Patent: September 5, 2006
    Assignee: Mitsubishi Electric Research Laboratories, Inc.
    Inventors: Ramesh Raskar, Adrian Ilie, Jingi Yu
  • Patent number: 7102638
    Abstract: A method generates an image with de-emphasized textures. Each pixel in the image is classified as either a silhouette edge pixel, a texture edge pixels, or a featureless pixel. A mask image M(x, y) is generated, wherein an intensity of a given pixel (x, y) in the mask image M(x, y) is zero if the pixel (x, y) is classified as the texture edge pixel, is d(x, y) if the pixel (x, y) is classified as the featureless pixel, and is one if the pixel (x, y) is classified as the silhouette edge pixel. An intensity gradient ?I(x, y) is determined in the masked image, and the intensity gradients in the masked image are integrated according to G(x, y)=?I(x, y). M(x, y). Then, an output image I? is generated by minimizing |?I??G|, and normalizing the intensities in the output image I?.
    Type: Grant
    Filed: March 19, 2003
    Date of Patent: September 5, 2006
    Assignee: Mitsubishi Eletric Research Labs, Inc.
    Inventors: Ramesh Raskar, Jingyi Yu, Adrian Ilie
  • Publication number: 20040184667
    Abstract: A method enhances images of a naturally illuminated scene. First, a set of images Ii(x, y) is acquired of a scene. Each image is acquired under a different uncontrolled illumination. For each image Ii(x, y), intensity gradients ∇Ii(x, y) are determined, and each image is weighted with weights according to the intensity gradients. The weighted images are then combined to construct an enhanced image I′.
    Type: Application
    Filed: March 19, 2003
    Publication date: September 23, 2004
    Inventors: Ramesh Raskar, Adrian Ilie, Jingi Yu
  • Publication number: 20040183812
    Abstract: A method generates an image with de-emphasized textures. Each pixel in the image is classified as either a silhouette edge pixel, a texture edge pixels, or a featureless pixel. A mask image M(x, y) is generated, wherein an intensity of a given pixel (x, y) in the mask image M(x, y) is zero if the pixel (x, y) is classified as the texture edge pixel, is d(x, y) if the pixel (x, y) is classified as the featureless pixel, and is one if the pixel (x, y) is classified as the silhouette edge pixel. An intensity gradient ∇I(x, y) is determined in the masked image, and the intensity gradients in the masked image are integrated according to G(x, y)=∇I(x, y). M(x, y). Then, an output image I′ is generated by minimizing |∇I′−G|, and normalizing the intensities in the output image I′.
    Type: Application
    Filed: March 19, 2003
    Publication date: September 23, 2004
    Inventors: Ramesh Raskar, Jingyi Yu, Adrian Ilie