2097 results about "Landmark" patented technology

A method for recognizing an audio sample locates an audio file that most closely matches the audio sample from a database indexing a large set of original recordings. Each indexed audio file is represented in the database index by a set of landmark timepoints and associated fingerprints. Landmarks occur at reproducible locations within the file, while fingerprints represent features of the signal at or near the landmark timepoints. To perform recognition, landmarks and fingerprints are computed for the unknown sample and used to retrieve matching fingerprints from the database. For each file containing matching fingerprints, the landmarks are compared with landmarks of the sample at which the same fingerprints were computed. If a large number of corresponding landmarks are linearly related, i.e., if equivalent fingerprints of the sample and retrieved file have the same time evolution, then the file is identified with the sample. The method can be used for any type of sound or music, and is particularly effective for audio signals subject to linear and nonlinear distortion such as background noise, compression artifacts, or transmission dropouts. The sample can be identified in a time proportional to the logarithm of the number of entries in the database; given sufficient computational power, recognition can be performed in nearly real time as the sound is being sampled.

Here, we introduce Z-webs, including Z-factors and Z-nodes, for the understanding of relationships between objects, subjects, abstract ideas, concepts, or the like, including face, car, images, people, emotions, mood, text, natural language, voice, music, video, locations, formulas, facts, historical data, landmarks, personalities, ownership, family, friends, love, happiness, social behavior, voting behavior, and the like, to be used for many applications in our life, including on the search engine, analytics, Big Data processing, natural language processing, economy forecasting, face recognition, dealing with reliability and certainty, medical diagnosis, pattern recognition, object recognition, biometrics, security analysis, risk analysis, fraud detection, satellite image analysis, machine generated data analysis, machine learning, training samples, extracting data or patterns (from the video, images, and the like), editing video or images, and the like. Z-factors include reliability factor, confidence factor, expertise factor, bias factor, and the like, which is associated with each Z-node in the Z-web.

Implants or systems of implants apply a selected force vector or a selected combination of force vectors within or across the left atrium, which allow mitral valve leaflets to better coapt. The implants or systems of implants make possible rapid deployment, facile endovascular delivery, and full intra-atrial retrievability. The implants or systems of implants also make use of strong fluoroscopic landmarks.

A method and system for piece-picking or piece put-away within a logistics facility. The system includes a central server and at least one mobile manipulation robot. The central server is configured to communicate with the robots to send and receive piece-picking data which includes a unique identification for each piece to be picked, a location within the logistics facility of the pieces to be picked, and a route for the robot to take within the logistics facility. The robots can then autonomously navigate and position themselves within the logistics facility by recognition of landmarks by at least one of a plurality of sensors. The sensors also provide signals related to detection, identification, and location of a piece to be picked or put-away, and processors on the robots analyze the sensor information to generate movements of a unique articulated arm and end effector on the robot to pick or put-away the piece.

Systems and methods may calibrate an indicator of speed of an autonomous vehicle. In one implementation, a system may include at least one processor programmed to: receive from a camera at least a plurality of images representative of an environment of the vehicle; analyze the plurality of images to identify at least two recognized landmarks; determine, based on known locations of the two recognized landmarks, a value indicative of a distance between the at least two recognized landmarks; determine, based on an output of at least one sensor associated with the autonomous vehicle, a measured distance between the at least two landmarks; determine a correction factor for the at least one sensor based on a comparison of the value indicative of the distance between the at least to recognized landmarks and the measured distance between the at least two landmarks.

Systems and methods which provide mapping an arbitrary outdoor environment and positioning a ground-based vehicle relative to this map. In one embodiment, a land-based vehicle travels across a section of terrain, recording both location data from sensors such as GPS as well as scene data from sensors such as laser scanners or cameras. These data are then used to create a high-resolution map of the terrain, which may have well-defined structure (such as a road) or which may be unstructured (such as a section of desert), and which does not rely on the presence of any “landmark” features. In another embodiment, the vehicle localizes itself relative to this map in a subsequent drive over the same section of terrain, using a computer algorithm that incorporates incoming sensor data from the vehicle by attempting to maximize the likelihood of the observed data given the map.

When information regarding position of a facility, such as a parking lot, is requested from a terminal (22), an information center (10) supplies position information to the terminal (22) as a relative position using a landmark, such as a neighboring road. The terminal (22) computes a shift from a position of a landmark in a local map database (24) and a position of a received landmark in a map matching processor (34), and corrects the facility position. If the landmark has not been stored in the map database (24) at the terminal (22), relative data based on another road is resent.

A method for segmenting digitized images includes providing a training set comprising a plurality of digitized whole-body images, providing labels on anatomical landmarks in each image of said training set, aligning each said training set image, generating positive and negative training examples for each landmark by cropping the aligned training volumes into one or more cropping windows of different spatial scales, and using said positive and negative examples to train a detector for each landmark at one or more spatial scales ranging from a coarse resolution to a fine resolution, wherein the spatial relationship between a cropping windows of a coarse resolution detector and a fine resolution detector is recorded.

Humans identify location and directions based on visual cues, such as landmarks, rather than a precise coordinate grid. A database of landmarks can be used to determine the location of a user who can merely describe their location in the same manner they would to any human contact. The location of the user can be determined based on the landmarks described in the input, and the areas from which all of those landmarks are visible. Various databases can be used, including text-based and three-dimensional. Similarly, various mechanisms can be used to determine the user's location, including hierarchical approaches, query optimization approaches, and visibility percentage approaches. Ultimately, the user's location can be determined without the need for expensive, dedicated infrastructure, without compromising the user's security, and without subjecting the user to system outages.

Creating a report from a radiological image using an electronic report template, the radiological image being an image of an anatomic region and the report template initially having empty fields includes displaying the radiological image on a screen of a workstation; providing a structural template, the structural template being a map of a reference region that corresponds to the anatomical region, t structural template identifying a plurality of anatomical landmarks each associated with corresponding landmark data; fitting the structural template with the radiological image such that the anatomical landmarks match corresponding anatomical landmarks of the radiological image; using the fitting to generate pathological data indicative of a pathology in one or more of the anatomical landmark and using the landmark data and pathological data to populate the empty field of the report template to thereby create the report.

Interactive geographic information systems (GIS) and techniques are disclosed that provide users with a greater degree of flexibility, utility, and information. A markup language is provided that facilitates communication between servers and clients of the interactive GIS, which enables a number of GIS features, such as network links (time-based and/or view-dependent dynamic data layers), ground overlays, screen overlays, placemarks, 3D models, and stylized GIS elements, such as geometry, icons, description balloons, polygons, and labels in the viewer by which the user sees the target area. Also, “virtual tours” of user-defined paths in the context of distributed geospatial visualization is enabled. Streaming and interactive visualization of filled polygon data are also enabled thereby allowing buildings and other such features to be provided in 3D. Also, techniques for enabling ambiguous search requests in a GIS are provided.

Methods of manufacturing a custom arthroplasty resection guide or jig are disclosed herein. For example, one method may include: generating MRI knee coil two dimensional images, wherein the knee coil images include a knee region of a patient; generating MRI body coil two dimensional images, wherein the body coil images include a hip region of the patient, the knee region of the patient and an ankle region of the patient; in the knee coil images, identifying first locations of knee landmarks; in the body coil images, identifying second locations of the knee landmarks; run a transformation with the first and second locations, causing the knee coil images and body coil images to generally correspond with each other with respect to location and orientation.

Presented are systems and methods that provide a unified end-to-end detection pipeline for object detection that achieves impressive performance in detecting very small and highly overlapped objects in face and car images. Various embodiments of the present disclosure provide for an accurate and efficient one-stage FCN-based object detector that may be optimized end-to-end during training. Certain embodiments train the object detector on a single scale using jitter-augmentation integrated landmark localization information through joint multi-task learning to improve the performance and accuracy of end-to-end object detection. Various embodiments apply hard negative mining techniques during training to bootstrap detection performance. The presented are systems and methods are highly suitable for situations where region proposal generation methods may fail, and they outperform many existing sliding window fashion FCN detection frameworks when detecting objects at small scales and under heavy occlusion conditions.

Implants or systems of implants and methods apply a selected force vector or a selected combination of force vectors within or across the left atrium, which allow mitral valve leaflets to better coapt. The implants or systems of implants and methods make possible rapid deployment, facile endovascular delivery, and full intra-atrial retrievability. The implants or systems of implants and methods also make use of strong fluoroscopic landmarks. The implants or systems of implants and methods make use of an adjustable implant and a fixed length implant. The implants or systems of implants and methods may also utilize a bridge stop to secure the implant, and the methods of implantation employ various tools.

The wearable tactile navigation system frees you from requiring to use your eyes as there is no display, all positional information is conveyed via touch. As a compass, the device nudges you towards North. As a GPS navigator, the device orients you towards a landmark (i.e., home) and lets you feel how far away home is. A bluetooth interface provides network capabilities, allowing you to download map landmarks from a cell phone. The bidirectional networking capability generalizes the device to a platform capable of collecting any sensor data as well as providing tactile messages and touch telepresence. The main application of the device is a wayfinding device for people that are blind and for people that suffer from Alzheimer's disease but there are many other applications where it is desirable to provide geographical information in tactile form as opposed to providing it in visual or auditory form.

A patient tissue includes a primary patient tissue area and an anatomically differentiated bordering secondary patient tissue area. An apparatus is at least partially customized responsive to preoperative imaging of the patient tissue. Means are provided for mating with the primary patient tissue area in a preselected relative orientation. Means are provided for fixing a first landmark to the primary patient tissue area in at least one of a predetermined marking location and a predetermined marking trajectory. Means are provided for fixing a second landmark to the secondary patient tissue area in at least one of a predetermined marking location and a predetermined marking trajectory. A method of associating a plurality of landmarks with a patient tissue is also provided.

This is a portable information system which uses Global Positioning System (GPS) data as a key to automatically retrieve audiovisual data from a database. On a journey the system can automatically identify and describe places of specific interest to the user, landmarks and the history of nearby buildings, or locate hotels, hospitals, shops and products within a radius of the present position. Audible menus and voice command give hands-free and eyes-free control while driving, flying, sailing or walking.

A capability for prominence-based feature generation and rendering for digital maps is provided. More specifically, embodiments relate to rendering map features such as buildings or landmarks in different rendering styles based on signals for how important a particular feature is to a search context. A search context may be, for example and without limitation, a general view of the map or a user-initiated search request for a particular point of interest or driving directions between different points of interest on the map. For example, the different rendering styles may include, but are not limited to, two-dimensional (2D) footprints, two-and-a-half-dimensional (2.5D) extruded polygons, as will be described further below, and full three-dimensional (3D) models. Furthermore, the style could include color and/or visual texture.

A locate device for a locate operation to detect a presence or an absence of one or more underground facilities is configured to access and display facilities map information, and/or other image information, as a visual aid to facilitate the locate operation. In various aspects, methods and apparatus relate to: selection of an appropriate “base” facilities map, or information from a database of facilities map data, relating to a given work site/dig area; selection of an appropriate pan and/or zoom (resolution) for displaying facilities map information; appropriately updating displayed facilities map information while a locate device is used during a locate operation (e.g. changing pan, zoom and/or orientation); overlaying on the displayed facilities map information locate information and/or landmark information relating to the locate operation; and storing locally on the locate device, and/or transmitting from the locate device, facilities map information and/or overlaid locate/landmark information (e.g., for further processing, analysis and/or subsequent display).