Patent application number | Description | Published |
20120299911 | METHOD AND ARRANGEMENT FOR IMPROVED IMAGE MATCHING - A method and device for determining at least one set of matching attributes between a plurality of images is disclosed. Two dimensional images are projected to a three dimensional space then searched for matching attributes. Searching for corresponding attributes is much easier and computationally less intensive in the 3D space compared to a search in the 2D space. The method includes steps of projecting at least part of the images of said plurality to a 3-dimensional space resulting in a plurality of 3-D projected images (image | 11-29-2012 |
20120307017 | METHOD AND SYSTEMS FOR OBTAINING AN IMPROVED STEREO IMAGE OF AN OBJECT - A method for obtaining an improved depth precision for a stereo image of an object of interest is disclosed, comprising:
| 12-06-2012 |
20130070108 | METHOD AND ARRANGEMENT FOR MULTI-CAMERA CALIBRATION - A method for determining calibration data for at least two cameras (camera | 03-21-2013 |
20130188862 | METHOD AND ARRANGEMENT FOR CENSORING CONTENT IN IMAGES - A method for censoring content on a three-dimensional image comprises a step of identifying in said three-dimensional image a three-dimensional object to be censored, and to replace said three-dimensional object to be censored by three-dimensional replacing contents in said three dimensional image. | 07-25-2013 |
20130251260 | METHOD AND SYSTEM FOR SEGMENTING AN IMAGE - The invention pertains to a method for segmenting an image from a sequence of video images into a foreground and a background, said image being composed of pixels, the method comprising: assigning an initial foreground probability to each of said pixels; assigning a set of probability propagation coefficients to each of said pixels; and applying a global optimizer to the initial foreground probabilities of said pixels to classify each of said pixels as a foreground pixel or a background pixel, to obtain a definitive foreground map; wherein said global optimizer classifies each processed pixel in function of the initial foreground probability of said processed pixel and the initial foreground probability of neighboring pixels, the relative weight of the initial foreground probability of neighboring pixels being determined by the probability propagation coefficients of said neighboring pixels. | 09-26-2013 |
20130279761 | METHOD AND ARRANGEMENT FOR IDENTIFYING VIRTUAL VISUAL INFORMATION IN IMAGES - A method for identifying virtual visual information in at least two images from a first sequence of successive images of a visual scene comprising real visual information and said virtual visual information is disclosed. | 10-24-2013 |
20140015918 | FEEDBACK-SYSTEM FOR MANAGING VIDEO CONFERENCING WITH A PORTABLE MULTIMEDIA DEVICE COMPRISING A FRONTAL CAMERA - A feedback-system for managing the position of a frontal camera provided on a portable multimedia device during video communication. The feedback-system comprises a camera image analyzer coupled to the frontal camera and adapted to detect and analyze the pose of a user facing the frontal camera, an optimal video estimator coupled to the camera image analyzer and adapted to calculate a 6-dimentional error-vector of the current position of the frontal camera with respect to an optimal position of the frontal camera, an intuitive feedback manager coupled to the optimal video estimator and adapted to generate a transformation matrix translating the error-vector into an error message for the image displayed on a screen of the portable multimedia device, the intuitive feedback manager being further coupled to the portable multimedia device which is adapted to use the error message for modifying the image displayed on the screen. | 01-16-2014 |
20140340397 | METHOD AND ARRANGEMENT FOR 3D MODEL MORPHING - A system and method for three-dimensional (3D) model morphing is disclosed. Morphing a standard 3D model based on 2D image data input includes the steps of performing an initial morphing of said standard 3D model using a detection model and a morphing model, thereby obtaining a morphed standard 3D model; determining the optical flow between the 2D image data input and the morphed standard 3D model, and applying the optical flow to said morphed standard 3D model, thereby providing a fine tuned 3D standard model. | 11-20-2014 |