Patent application number | Description | Published |
20090129628 | METHOD FOR DETERMINING THE POSITION OF AN OBJECT FROM A DIGITAL IMAGE - Method for determining the position of an object point in a scene from a digital image thereof acquired through an optical system is presented. The image comprises a set of image points corresponding to object points and the position of the object points are determined by means of predetermined vectors associated with the image points. The predetermined vector represents the inverted direction of a light ray in the object space that will produce this image point through the optical system comprising all distortion effects of the optical system. | 05-21-2009 |
20090319451 | PATTERN CLASSIFICATION METHOD - For assigning a test pattern to a class chosen from a predefined set of classes, the class membership probability for the test pattern is calculated as well as the confidence interval for the class membership probability based upon a number of training patterns in a neighbourhood of the test pattern in the feature space. The number of training patterns in the neighbourhood of the test pattern is obtained from computing a convolution of a density function of the training patterns with a Gaussian smoothing function centred on the test pattern, where the density function of the training patterns is represented as a mixture of Gaussian functions. The convolution of the smoothing function and the mixture of Gaussian functions can be expressed analytically. | 12-24-2009 |
20100283888 | METHOD FOR CONTAMINATION DETECTION IN A TOF RANGE CAMERA - A method for contamination detection in a time-of-flight (TOF) range imaging system is described, wherein the TOF range imaging system receives light reflected from a scene, through an optical interface, on an imager sensor having an array of pixels, and wherein distance information and amplitude information are determined for the sensor pixels. The presence of contamination on the optical interface is determined on the basis of amplitude information determined for the sensor pixels. | 11-11-2010 |
20110018967 | RECORDING OF 3D IMAGES OF A SCENE - A method of recording 3D images of a scene based on the time-of-flight principle comprises illuminating a scene by emitting light carrying an intensity modulation, imaging the scene onto a pixel array using an optical system, detecting, in each pixel, intensity-modulated light reflected from the scene onto the pixel and determining, for each pixel, a distance value based on the phase of light detected in the pixel. The determination of the distance values comprises a phase-sensitive de-convolution of the scene imaged onto the pixel array such that phase errors induced by light spreading in the optical system are compensated for. | 01-27-2011 |
20110205340 | 3D TIME-OF-FLIGHT CAMERA SYSTEM AND POSITION/ORIENTATION CALIBRATION METHOD THEREFOR - A camera system comprises a 3D TOF camera for acquiring a camera-perspective range image of a scene and an image processor for processing the range image. The image processor contains a position and orientation calibration routine implemented therein in hardware and/or software, which position and orientation calibration routine, when executed by the image processor, detects one or more planes within a range image acquired by the 3D TOF camera, selects a reference plane among the at least one or more planes detected and computes position and orientation parameters of the 3D TOF camera with respect to the reference plane, such as, e.g., elevation above the reference plane and/or camera roll angle and/or camera pitch angle. | 08-25-2011 |
20120229646 | REAL-TIME DYNAMIC REFERENCE IMAGE GENERATION FOR RANGE IMAGING SYSTEM - A dynamic reference range image generation method comprises providing a reference range image, to be dynamically updated, composed of pixels, each of which contains a reference range value. An acquired range image is provided, the pixels of which contain each a measured range value, the measured range values being updated at a predetermined rate. Pixels of the acquired range image containing an invalid measured range value are accordingly marked. The measured range value of each pixel of the acquired range image not marked as containing an invalid measured range value is compared with the reference range value of the corresponding pixel of the reference range image. The reference range value of that pixel of the reference range image is updated e.g. to the measured range value or to an average of the measured range value and one or more prior measured range values if a) the measured range value is considered less than the reference range value and has remained substantially constant for a first time period, or if b) the measured range value is considered greater than the reference range value and has remained substantially constant for a second time period smaller than the first time period. If neither of conditions a) and b) is fulfilled, the reference range value is kept substantially constant instead. | 09-13-2012 |
20130272600 | RANGE IMAGE PIXEL MATCHING METHOD - A method for matching the pixels ( | 10-17-2013 |
20150235351 | DEPTH IMAGE ENHANCEMENT METHOD - A method for enhancing a depth image of a scene, comprises calculating an enhanced depth image by blending a first filtered depth image with a second filtered depth image or with the original depth image. The blending is achieved by application of a blending map, which defines, for each pixel, a contribution to the enhanced depth image of the corresponding pixel of the first filtered depth image and of the corresponding pixel of either the second filtered depth image or the original depth image. For pixels in the depth image containing no depth value or an invalid depth value, the blending map defines a zero contribution of the corresponding pixel of the second filtered depth image and a 100% contribution of the corresponding pixel of the first filtered image. | 08-20-2015 |