Patent application number | Description | Published |
20110068272 | DEVICE AND METHOD FOR DETECTING INFRARED RADIATION THROUGH A RESISTIVE BOLOMETER MATRIX - An infrared radiation detection device comprising: a substrate; a matrix of at least one line of elements for detecting said radiation, each comprising a resistive imaging bolometer, said matrix being formed above the substrate; means for reading the bolometers of the matrix, means for measuring the temperature in at least one point of the substrate; and means for correcting the signal formed from each bolometer as a function of the temperature measured in at least one point of the substrate. The correcting means are capable of correcting the signal formed from the imaging bolometer by means of a predetermined physical model of the temperature behaviour of said signal. | 03-24-2011 |
20120211657 | DEVICE AND METHOD FOR DETECTING INFRARED RADIATION THROUGH A RESISTIVE BOLOMETER MATRIX - An infrared radiation detection device comprising: a substrate; a matrix of at least one line of elements for detecting said radiation, each comprising a resistive imaging bolometer, said matrix being formed above the substrate; means for reading the bolometers of the matrix, means for measuring the temperature in at least one point of the substrate; and means for correcting the signal formed from each bolometer as a function of the temperature measured in at least one point of the substrate. The correcting means are capable of correcting the signal formed from the imaging bolometer by means of a predetermined physical model of the temperature behaviour of said signal. | 08-23-2012 |
20130056622 | ANALOG ELECTRONIC CIRCUIT FOR PROCESSING A LIGHT SIGNAL, AND CORRESPONDING PROCESSING SYSTEM AND METHOD - This analog electronic circuit ( | 03-07-2013 |
20140253734 | IMAGE ACQUISITION METHOD AND SYSTEM - A method of acquiring an image of a scene illuminated by a first beam, by means of a sensor including at least two pixels, including the steps of: a) for each pixel, reading a first output value of the pixel representative of the intensity of the radiation received by the pixel during a first integration period during which the sensor is illuminated by a second beam coherent with the first beam; and b) for each pixel, reading a second output value of the pixel representative of the intensity of the radiation received by the pixel during a second integration period during which the sensor is not illuminated by the second beam, wherein steps a) and b) are repeated a plurality of times by changing, between two successive iterations, the angle of incidence or a phase parameter of the second beam. | 09-11-2014 |
20150070541 | COMPRESSIVE IMAGE SENSING DEVICE AND METHOD - The present invention involves a CMOS image sensor including: a plurality of pixels distributed in a plurality of subsets, each subset defining a measurement support; and a circuit capable of implementing a compressive image sensing method, the method including: for a given integration time of the sensor pixels, reading, for each measurement support, a single output value based on the output values of a pseudo-random selection of one or a plurality of pixels of the support. | 03-12-2015 |
20150070555 | COMPRESSIVE IMAGE SENSING DEVICE AND METHOD - A CMOS image sensor including: a plurality of pixels; a first analog circuit for calculating one or a plurality of statistical estimators based on the analog output values of sensor pixels; and a second circuit capable of implementing a compressive image sensing method, wherein the applied compression rate is a function of the statistical estimator(s) calculated by the first circuit. | 03-12-2015 |
20150213579 | METHOD AND DEVICE FOR RECONSTRUCTING SUPER-RESOLUTION IMAGES - The invention relates to a method for generating a super-resolution image by means of a processing device, the method including the following steps: oversampling an input image in order to generate an oversampled image; and modifying the pixel value of a first pixel of the oversampled image by means of the following steps: generating a similarity value for each one of a plurality of candidate pixels in the input image and/or in one or more other input images, the candidate pixels being selected based on the position of the first pixel in the oversampled image, the similarity value being generated by evaluating the similarity of a group of pixels adjacent to each one of the candidate pixels to a group of pixels adjacent to the first pixel; selecting a first subset of candidate pixels on the basis of the similarity values, and generating the modified pixel value of the first pixel based on the pixel values and on the similarity values of the first subset of candidate pixels. | 07-30-2015 |
20150325973 | DEVICE FOR MEASURING AND CONTROLLING THE WAVE-FRONT OF A COHERENT LIGHT BEAM - The invention concerns a system for measuring and controlling the wave-front of a coherent light beam ( | 11-12-2015 |
20150332081 | Hyperspectral image acquisition system and method - A system for acquiring a hyperspectral image, including: a grey level image sensor; and a diffuser and dispersive element placed on the optical path between the sensor and a scene, this element including an array of individually-controllable liquid crystal cells, where each cell can receive a control voltage selected from among a series of at least three different control voltages. | 11-19-2015 |
Patent application number | Description | Published |
20110093459 | Incorporating Recency in Network Search Using Machine Learning - In one embodiment, access a set of recency ranking data comprising one or more recency search queries and one or more recency search results, each of the recency search queries being recency-sensitive with respect to a particular time period and being associated with a query timestamp representing the time at which the recency search query is received at a search engine, each of the recency search results being generated by the search engine for one of the recency search queries and comprising one or more recency network resources. Construct a plurality of recency features from the set of recency ranking data. Train a first ranking model via machine learning using at least the recency features. | 04-21-2011 |
20110191313 | Ranking for Informational and Unpopular Search Queries by Cumulating Click Relevance - One embodiment accesses a search query and one or more sets of clicked network resources corresponding to the search query; determines a classifier model that represents the sets of clicked network resources that each satisfy the information need of one of the users and one or more subsets of the sets of clicked network resources that each do not satisfy the information need of one of the users; computes a probability value for each clicked network resource from each of the sets of clicked network resources using the classier model, wherein the probability value represents a likelihood that, after clicking on the corresponding network resource, the particular one of the users conducting the corresponding particular one of the search sessions ends the search session; and forms a set of features comprising the probability values computed for network resources from the search sessions. | 08-04-2011 |
20110231380 | SESSION BASED CLICK FEATURES FOR RECENCY RANKING - In one embodiment, access one or more query chains, wherein each one of the query chains comprises two or more search queries, {q | 09-22-2011 |
20110231390 | SESSION BASED CLICK FEATURES FOR RECENCY RANKING - In one embodiment, access one or more query-resource pairs, wherein for each one of the query-resource pairs comprising one of one or more search queries and one of one or more network resources, the one search query is recency-sensitive with respect to a particular time period, and the one network resource is identified for the one search query, and a resource-view count and a resource-click count associated with each one of the query-resource pairs; and construct one or more first click features using the resource-view counts and the resource-click counts associated with the query-resource pairs. To construct one of the first click features in connection with one of the query-resource pairs comprises determine a only-resource-click count associated with the one query-resource pair; and calculate a ratio between the only-resource-click count and the resource-view count associated with the one query-resource pair as the one first click feature. | 09-22-2011 |