Abstract:
The invention allows riders to quickly and effortlessly strap in and out of their bindings with only one hand, with embodiments for top-entry bindings, rear-entry bindings and hybrid-bindings. The invention can be integrated into bindings or delivered as after-market add-on products that re-use and adapt the riders existing binding.
Abstract:
A system (100) for the adaptive imaging of a scene includes a digital light processing apparatus (150) adapted for controllably reflecting an image of the scene in at least a first direction to thereby reflect an intensity modulated image of the scene along at least the first direction, an image detector (140) for detecting the intensity modulated image of the scene and generating corresponding image data, and an image data processor (154) for processing the image data into control data and providing the control data to the digital light processing (150) apparatus for control thereof.
Abstract:
A system for analyzing motion contains an overall model that includes local deformations and a scaleable default model having a global component and parametric offsets. The offsets provide two features. First, they help to form an expected model shape which facilitates appropriate model data correspondences. Second, they scale with the global component to maintain the expected shape even in the presence of large global deformations. The system is applied to the recovery of a 3-D object from a volunteer dataset of tagged images.
Abstract:
A secure and scalable data storage system that includes a server and a plurality of clients. The server maintains an access permission file that includes a file-group name, a plurality of client access blocks, a first and second public key, and a signature that is based on a first private key. The signature ensures that only clients who have a certain level of access can modify the contents of the access blocks. Each client access block includes at least one of a first access key, a second access key and a third access key. The access keys are encapsulated within biometric information of the client. The server grants one of a first level of access based on a successful verification of a signed request with the first public key and a second level of access based on a successful verification of the signed request with the second public key.
Abstract:
The present invention provides a technique for automated selection of a parameterized operator sequence to achieve a pattern classification task. A collection of labeled data patterns is input and statistical descriptions of the inputted labeled data patterns are then derived. Classifier performance for each of a plurality of candidate operator/parameter sequences is determined. The optimal classifier performance among the candidate classifier performances is then identified. Performance metric information, including, for example, the selected operator sequence/parameter combination, will be outputted. The operator sequences selected can be chosen from a default set of operators, or may be a user-defined set. The operator sequences may include any morphological operators, such as, erosion, dilation, closing, opening, close-open, and open-close.
Abstract:
A system for recovering cardiac motion includes an overall model, a geodesic-like prismoidal tessellation of the model and constant volume constraints. The overall model includes local deformations and a scaleable default model having a global component and parametric offsets. The offsets provide two features. First, they help to form an expected model shape which facilitates appropriate model data correspondences. Second, they scale with the global component to maintain the expected shape even in the presence of large global deformations. The system is applied to the recovery of 3-D cardiac motion from a volunteer dataset of tagged-MR images.
Abstract:
A two-dimensional image is subjected to a three-dimensional effect, such as folding, twisting or rotation, and transformed or warped into a modified output image. By successive one-dimensional resampling along two coordinates and parallel channel processing of transposed input image data with rejection of distorted pixel value data, bottleneck, shear and other distortions are addressed. Complete warping systems, resampling subsystems and related methods are disclosed.
Abstract:
A system and method for measuring impairment in an operator and stopping an impaired operator from operating a vehicle. The method empirically measures an operator's cognitive and motor skills requisite for safely operating a motorized vehicle and verifies the person's identity. The invention includes three interlocking major subsystems. The first subsystem provides generalized impairment measurement unit. The second subsystem interfaces with the impairment measurement unit and a vehicle ignition system and ensures the vehicle does not start if the operator is impaired. The third system determines whether the person blowing into a drug and alcohol analyzer connected to the first system is that person by detecting a various biometric. If the operator is not impaired and their identity is verified the vehicle ignition is enabled. If the operator is indeed impaired beyond a level requisite to safely operate the vehicle the ignition is disabled.
Abstract:
Techniques, systems and methods are described relating to combining biometric and cryptographic techniques to support securely embedding data within a token and subsequent biometrically-enabled recovery of said data. Various transformation approaches are described that provide a secure means for transforming a stored or live, secure biometric-based identity token, embedding data into such tokens and biometric-based matching to both verify the user's identity and recover the embedded data. Security enhancements to a range of existing protocols are described using the techniques. Systems using novel protocols based on these techniques are described.
Abstract:
The present invention provides a technique for automated selection of a parameterized operator sequence to achieve a pattern classification task. A collection of labeled data patterns is input and statistical descriptions of the inputted labeled data patterns are then derived. Classifier performance for each of a plurality of candidate operator/parameter sequences is determined. The optimal classifier performance among the candidate classifier performances is then identified. Performance metric information, including, for example, the selected operator sequence/parameter combination, will be outputted. The operator sequences selected can be chosen from a default set of operators, or may be a user-defined set. The operator sequences may include any morphological operators, such as, erosion, dilation, closing, opening, close-open, and open-close.