134 results about "Partial occlusion" patented technology

A device for continuously monitoring a user's arterial blood pressure has a sensor adapted to continuously detect the blood pressure and to generate signals representative thereof by contact with an external surface of the user's body at a location adjacent an artery. The sensor is securely held in operable contact with the user's body at the location. A microprocessor interprets the signals generated by the sensor to determine actual arterial blood pressure. The sensor includes a projecting portion for detecting and transmitting changes in blood pressure, wherein the projecting portion is adapted to effect at least partial occlusion of the artery at the location.

Methods for treating total and partial occlusions employ a perfusion conduit which is penetrated through the occlusive material. Oxygenated blood or other medium is then perfused through the conduit to maintain oxygenation and relieve ischemia in tissue distal to the occlusion. Optionally, the occlusion may be treated while perfusion is maintained, typically by introducing a thrombolytic or other agent into the occlusive material using the perfusion conduit. Such methods are particularly suitable for treating acute stroke to prevent irreversible damage to the cerebral tissue.

Optical character recognition (OCR) for images such as a street scene image is generally a difficult problem because of the variety of fonts, styles, colors, sizes, orientations, occlusions and partial occlusions that can be observed in the textual content of such scenes. However, a database query can provide useful information that can assist the OCR process. For instance, a query to a digital mapping database can provide information such as one or more businesses in a vicinity, the street name, and a range of possible addresses. In accordance with an embodiment of the present invention, this mapping information is used as prior information or constraints for an OCR engine that is interpreting the corresponding street scene image, resulting in much greater accuracy of the digital map data provided to the user.

This invention relates to a mixed reality presentation apparatus for obtaining the position and orientation of an image sensing unit using markers. Whether or not a marker detected in a captured image has suspicion of partial occlusion is determined by checking if a region that neighbors a marker region includes a predetermined color, thus inhibiting information obtained from the marker with suspicion of partial occlusion from being used in position and orientation estimation of the image sensing unit. The precision of the obtained position and orientation can be improved.

Simultaneous localization and mapping (SLAM) utilizes multiple view feature descriptors to robustly determine location despite appearance changes that would stifle conventional systems. A SLAM algorithm generates a feature descriptor for a scene from different perspectives using kernel principal component analysis (KPCA). When the SLAM module subsequently receives a recognition image after a wide baseline change, it can refer to correspondences from the feature descriptor to continue map building and/or determine location. Appearance variations can result from, for example, a change in illumination, partial occlusion, a change in scale, a change in orientation, change in distance, warping, and the like. After an appearance variation, a structure-from-motion module uses feature descriptors to reorient itself and continue map building using an extended Kalman Filter. Through the use of a database of comprehensive feature descriptors, the SLAM module is also able to refine a position estimation despite appearance variations.

First order predicate logics are provided, extended with a bilattice based uncertainty handling formalism, as a means of formally encoding pattern grmmars, to parse a set of image features, and detect the presence of different patterns of interest implemented on a processor. Information from different sources and uncertainties from detections, are integrated within the bilattice framework. Automated logical rule weight learning in the computer vision domain applies a rule weight optimization method which casts the instantiated inference tree as a knowledge-based neural network, to converge upon a set of rule weights that give optimal performance within the bilattice framework. Applications are in (a) detecting the presence of humans under partial occlusions and (b) detecting large complex man made structures in satellite imagery (c) detection of spatio-temporal human and vehicular activities in video and (c) parsing of Graphical User Interfaces.

Apparatus and methods for treating a hollow anatomical structure comprises an implant sized for insertion into a hollow anatomical structure. The implant comprises a plurality of loose, bulked fibers. The fibers are formed from one or more bioabsorbable materials. Upon implantation, the apparatus causes a partial occlusion of the hollow anatomical structure, followed by a complete or substantially complete occlusion.

A device and method of use for a partial occlusion device (POD) for matter and liquid flow control. More specifically, a device relating to the partial occlusion of blood vessels to affect the flow of blood through the blood vessels is disclosed. The POD may be formed from a mesh material and includes one or more lumens. The POD may be particularly useful in treating Hypoplastic Left Heart Syndrome, by reducing pulmonary blood flow to decrease the risk of pulmonary hypertension. The POD may also be used to deliver therapeutic agents to a specific site. The POD can be retrieved after placement.

A method of recognizing a test face given an imprecise localization and/or a partially occluded face. Using an eigenspace representation of the learning image, a subspace is computed that represents localization errors within the eigenspace. This is computed by calculating an actual localization error of the localization of the learning image. Accounting for the calculated actual localization error, all possible morphed faces are projected onto the eigenspace. For all possible faces, the subspace is modeled where all of the possible localizations of the possible faces lie using a Gaussian distribution. To accommodate for possible partial occlusions, for all possible faces, the possible faces are divided into n different local parts. Each of the n local parts are modeled using a Gaussian distribution. A global probability of the test face is computed by adding all local probabilities defined by the Gaussian distribution. The test face is recognized based on the computed subspace and/or the accounted for possible partial occlusions.

Provided is a method and system of tracking partially occluded objects using an elastic deformation model. According to an exemplary method and system, partially occluded vehicles are detected and tracked in a scene including side-by-side drive-thru lanes. A method for updating an event sequence includes acquiring video data of a queue area from at least one image source; searching the frames for subjects located at least near a region of interest (ROI) of defined start points in the video data; tracking a movement of each detected subject through the queue area over a subsequent series of frames; using the tracking, determining if a location of the a tracked subject reaches a predefined merge point where multiple queues in the queue area converge into a single queue lane; in response to the tracked subject reaching the predefined merge point, computing an observed sequence of where the tracked subject places among other subjects approaching an end-event point; and, updating a sequence of end-events to match the observed sequence of subjects in the single queue lane.

Original or compressed Auxiliary Data, including possibly major depth discontinuities in the form of shape images, partial occlusion data, associated tuned and control parameters, and depth information of the original video(s), are used to facilitate the interactive display and generation of new views (view synthesis) of conventional 2D, stereo, and multi-view videos in conventional 2D, 3D (stereo) and multi-view or autostereoscopic displays with reduced artifacts. The partial or full occlusion data includes image, depth and opacity data of possibly partially occluded areas to facilitate the reduction of artifacts in the synthesized view. An efficient method is used for extracting objects at partially occluded regions as defined by the auxiliary data from the texture videos to facilitate view synthesis with reduced artifacts. Further, a method for updating the image background and the depth values uses the auxiliary data after extraction of each object to reduce the artifacts due to limited performance of online inpainting of missing data or holes during view synthesis.