Patent application number | Description | Published |
20110139848 | FASTENING TOOL WITH AN INTERNAL COMBUSTION ENGINE WITH A UNIQUE OPENING AND CLOSING CHAMBER ABUTMENT - The tool is to be used for driving fastening members into a supporting material. It comprises a cylinder ( | 06-16-2011 |
20110139849 | FASTENING TOOL WITH DEPTH OF DRIVE ADJUSTMENT - The tool comprises an engine for propelling a piston including a shaft for driving a fastening member into a supporting material and through a pin guide, with means for adjusting the depth of drive of the piston shaft outside the pin guide at the end of the propulsion and at the stop of the piston in abutment against stop means. The pin guide is mounted free in translation and the depth of drive adjusting means comprise an adjustment knurl with a knurl shaft arranged so as to be in abutment against the pin guide and to push the pin guide forwards under the rotation action of the knurl. | 06-16-2011 |
20120222877 | HAND TOOL TELEACTUATING POLE CONTROLLED BY A THRUST TOWARDS THE SUPPORT MATERIAL - The pole comprises a securing end, with tool securing means and tool actuating means, a gripping end to be gripped by an operator, and telecontrolling means for telecontrolling the actuating means. The actuating means are arranged in the tool securing means to be directly controlled by the pole securing end and thus telecontrolled by the pole and its gripping end under the action of a thrust of the pole towards the support material. The pole is well adapted to sealing guns. | 09-06-2012 |
20120223119 | SPATIAL POSITIONING SAFETY INDIRECT SHOT ANCHORING DEVICE AND TELEACTUATING POLE FOR A SPATIAL POSITIONING SAFETY INDIRECT SHOT ANCHORING DEVICE - The pole comprises a securing end, with device securing means and the device actuating means, a gripping end to be gripped by an operator and telecontrolling means for telecontrolling the actuating means. The actuating means are arranged in the device securing means and are directly controlled by the securing end of the pole and thus telecontrolled by the pole and its gripping end under the action of a thrust of the pole towards the support material. The device actuating means comprise safety means arranged to avoid by gravity the control of the actuating means by the securing end of the pole when the spatial position of the pole is inappropriate. The invention also relates to an anchoring device provided with the same safety means. | 09-06-2012 |
Patent application number | Description | Published |
20130155063 | Face Feature Vector Construction - Systems, methods, and computer readable media for determining and applying face recognition parameter sets are described. In general, techniques are disclosed for identifying and constructing a unique combination of facial recognition discriminators into a “face feature vector” that has been found to be more robust (e.g., stable to image noise, a person's pose, and scene illumination) and accurate (e.g., provide high recognition rates) than prior art techniques. More particularly, a face feature vector may be generated by the combination of shape descriptors (e.g., as generated by two-dimensional and three-dimensional shape models) and texture descriptors (e.g., as generated by global and local texture models). | 06-20-2013 |
20140050404 | Combining Multiple Image Detectors - A technique for combining multiple individual feature detectors to identify a combined feature in a digital image is disclosed. A combined feature detection rule may specify multiple individual feature detectors with which an image is to be analyzed. The multiple individual feature detectors may identify constituent parts of the combined feature and/or may identify features based on different image properties. An analysis of the image with the specified feature detectors may result in the identification of multiple candidate regions (i.e., regions within which the detectors identify their respective features). The combined feature detection rule may operate directly on the multiple candidate regions to adjust the spatial properties of the candidate regions and group the adjusted candidate regions into candidate region groups, it may then be determined if one or more of the candidate region groups is representative of a presence of the combined feature in the image. | 02-20-2014 |
20140355821 | Object Landmark Detection in Images - Techniques are provided to improve the performance and accuracy of landmark point detection using a Constrained Local Model. The accuracy of feature filters used by the model may be improved by supplying positive and negative sets of image data from training image regions of varying shapes and sizes to a linear support vector machine training algorithm. The size and shape of regions within which a feature filter is to be applied may be determined based on a variance in training image data for a landmark point with which the feature filter is associated. A sample image may be normalized and a confidence map generated for each landmark point by applying the feature filters as a convolution on the normalized image. A vector flow map may be pre-computed to improve the efficiency with which a mean landmark point is adjusted toward a corresponding landmark point in a sample image. | 12-04-2014 |
20150071547 | Automated Selection Of Keeper Images From A Burst Photo Captured Set - Systems and methods for improving automatic selection of keeper images from a commonly captured set of images are described. A combination of image type identification and image quality metrics may be used to identify one or more images in the set as keeper images. Image type identification may be used to categorize the captured images into, for example, three or more categories. The categories may include portrait, action, or “other.” Depending on the category identified, the images may be analyzed differently to identify keeper images. For portrait images, an operation may be used to identify the best set of faces. For action images, the set may be divided into sections such that keeper images selected from each section tell the story of the action. For the “other” category, the images may be analyzed such that those having higher quality metrics for an identified region of interest are selected. | 03-12-2015 |