Abstract:
An apparatus and method for calibrating a computer-generated projected image to the displayed image viewed on the computer screen. Four or more calibration spots, at least three of which are collinear, arrayed in a predetermined pattern in both the displayed and the projected images, are optically imaged and electronically discriminated in the projected image, their coordinates ascertained and related to the predetermined pattern so as to derive transformation coefficients used in the process of converting a location on the projected image to the corresponding location in the displayed image.
Abstract:
An image processor in an image capture device compensates for the effects of undesirable camera shakes occurring during video capture The image processor receives a pair of source frames representing images of a scene, generates a pair of subsampled frames from the source frames, and computes a coarse displacement of the captured image due to camera shakes by comparing the two subsampled frames. The image processor may then refine the determined coarse displacement by comparing the two source frames and a bound determined by an extent of subsampling, and compensate for the displacement accordingly. Display aberrations such as blank spaces caused due to shifting are also avoided by displaying only a portion of the captured image and shifting the displayed portion to compensate for camera shake. The image processor also recognizes displacements due to intentional camera movement, and does not correct for such displacements.
Abstract:
A method and system for image chroma suppression of an image sensor system. Chroma suppression is performed to reduce the false color phenomena. The amount of chroma suppression is performed based on the strength of spatial frequency for a current processing pixel measured during edge detection. In determining the strength of spatial frequency of the current processing pixel, only a small number of green pixel values are needed, regardless of whether or not the current processing pixel is a green pixel within the Bayer pattern. As such, line buffers from the color interpolation module of an image sensor system can also be used for the purpose of chroma suppression.
Abstract:
A system for automatically detecting and recognizing the identity of a deformable object such as a human face, within an arbitrary image scene. The system comprises an object detector implemented as a probabilistic DBNN, for determining whether the object is within the arbitrary image scene and a feature localizer also implemented as a probabilistic DBNN, for determining the position of an identifying feature on the object such as the eyes. A feature extractor is coupled to the feature localizer and receives coordinates sent from the feature localizer which are indicative of the position of the identifying feature and also extracts from the coordinates information relating to other features of the object such as the eyebrows and nose, which are used to create a low resolution image of the object. A probabilistic DBNN based object recognizer for determining the identity of the object receives the low resolution image of the object inputted from the feature extractor to identify the object.
Abstract:
Systems and methods for human hand gesture recognition through a training mode and a recognition mode are disclosed. In the training mode, a user can move a handheld device with a hand gesture intended to represent a command. Sensors within the handheld device can record raw data, which can be processed to obtain a set of values corresponding to a set of discrete features, which is stored in a database and associated with the intended command. The process is repeated for various hand gestures representing different commands. In the recognition mode, the user can move the handheld device with a hand gesture. A computer system can compare a set of values corresponding to a set of discrete features derived from the hand gesture with the sets of values stored in the database, select a command with the closest match and displays and/or executes the command.
Abstract:
Described herein is an intelligent remote controlling device. The device can include a six-axis motion sensor to accurately track three dimensional hand motions. For example, the sensors can include a three-axis accelerometer and a three-axis gyroscope. The remote control device can also include a processing unit integrated with the motion sensors in a single module. The processing unit can convert data regarding the hand motion to data regarding a cursor motion for a cursor that will be displayed on a screen of an electronic device. The processing unit can be integrated with the motion sensors in a single module. The processing unit can include at least two modes of functionality corresponding to different types of hand motion: a one to one mode where the cursor directly tracks the hand motion and a non-linear mode that filters data from the motion sensors to eliminate hand jitter.
Abstract:
A flicker band automated detection system and method are presented. In one embodiment an incidental motion mitigation exposure setting method includes receiving image input information; performing a motion mitigating flicker band automatic detection process; and implementing exposure settings based upon results of the motion mitigating flicker band automatic detection process. The auto flicker band detection process includes performing a motion mitigating process on an illumination intensity indication. Content impacts on an the motion mitigated illumination intensity indication are minimized. The motion mitigated illumination intensity indication is binarized. A correlation of the motion mitigated illumination intensity and a reference illumination intensity frequency is established.
Abstract:
Systems, methods, and apparatus for performing deduced reckoning navigation without a constraint relationship between orientation of a sensor platform and a direction of travel of an object are described herein. A sensor fusion component can be configured to receive data from sensors of a sensor platform coupled to a pedestrian; and generate world coordinate information based on the data. Further, a gait recognition component can be configured to record one or more walking patterns of the pedestrian in a training database; and determine whether the world coordinate information is associated with a walking pattern of the one or more walking patterns. Furthermore, a position estimation component can be configured to estimate a position of the pedestrian based on the world coordinate information if the world coordinate information is associated with the walking pattern, regardless of an orientation of the sensor platform with respect to the position of the pedestrian.
Abstract:
Systems, methods, and apparatus for performing deduced reckoning navigation without a constraint relationship between orientation of a sensor platform and a direction of travel of an object are described herein. A sensor fusion component can be configured to receive data from sensors of a sensor platform coupled to a pedestrian; and generate world coordinate information based on the data. Further, a gait recognition component can be configured to record one or more walking patterns of the pedestrian in a training database; and determine whether the world coordinate information is associated with a walking pattern of the one or more walking patterns. Furthermore, a position estimation component can be configured to estimate a position of the pedestrian based on the world coordinate information if the world coordinate information is associated with the walking pattern, regardless of an orientation of the sensor platform with respect to the position of the pedestrian.
Abstract:
An image signal compression method and system. Without involving the current processing pixel, an encryption key and a decryption key are respectively and separately generated by a compression subsystem and a decompression subsystem. Both of the encryption and decryption keys are separately generated using the same principle of pixel prediction. Both of the encryption and decryption keys have the same value. In the compression subsystem, the encryption key is subtracted from the pixel value of the current processing pixel to generate a compressed data. In the decompression subsystem, the decryption key is added to the compressed data to recover the pixel value of the current processing pixel.