Abstract:
What is disclosed is a system and method for enhancing a spatio-temporal resolution of a depth data stream. In one embodiment, time-sequential reflectance frames and time-sequential depth frames of a scene are received. If a temporal resolution of the reflectance frames is greater than the depth frames then a new depth frame is generated based on correlations determined between motion patterns in the sequence of reflectance frames and the sequence of depth frames. The new depth frame is inserted into the sequence of depth frames at a selected time point. If a spatial resolution of the reflectance frames is greater than the depth frames then the spatial resolution of a selected depth frame is enhanced by generating new pixel depth values which are added to the selected depth frame. The spatially enhanced depth frame is then inserted back into the sequence of depth frames.
Abstract:
What is disclosed is a wireless cellular device capable of determining a volume of an object in an image captured by a camera of that apparatus. In one embodiment, the present wireless cellular device comprises an illuminator for projecting a pattern of structured light with known spatial characteristics, and a camera for capturing images of an object for which a volume is to be estimated. The camera is sensitive to a wavelength range of the projected pattern of structured light. A spatial distortion is introduced by a reflection of the projected pattern off a surface of the object. And processor executing machine readable program instructions for performing the method of: receiving an image of the object from the camera; processing the image to generate a depth map; and estimating a volume of the object from the depth map. A method for using the present wireless cellular device is also provided.
Abstract:
What is disclosed is a system and method for adaptively reconstructing a depth map of a scene. In one embodiment, upon receiving a mask identifying a region of interest (ROI), a processor changes either a spatial attribute of a pattern of source light projected on the scene by a light modulator which projects an undistorted pattern of light with known spatio-temporal attributes on the scene, or changes an operative resolution of a depth map reconstruction module. A sensing device detects the reflected pattern of light. A depth map of the scene is generated by the depth map reconstruction module by establishing correspondences between spatial attributes in the detected pattern and spatial attributes of the projected undistorted pattern and triangulating the correspondences to characterize differences therebetween. The depth map is such that a spatial resolution in the ROI is higher relative to a spatial resolution of locations not within the ROI.
Abstract:
What is disclosed is a system and method for performing a medical diagnosis for a subject of interest using a RGB video camera and a spot radiometer in a non-contact, remote sensing environment. In one embodiment, video images are captured using a RGB video camera in real-time of a subject of interest for medical diagnostic purposes. The video images are analyzed to identify a region of exposed skin for which measurements are desired to be obtained. A relative position of a spot radiometer is then adjusted such that the spot radiometer can measure incident radiation at a desired wavelength range from the identified region of exposed skin. The measurements are then used to perform a medical diagnosis for the subject. Various embodiments are disclosed.
Abstract:
What is disclosed is a system and method which reconstructs an N-pixel image of a scene such that Q pixel locations associated with identified regions of interest in a scene have a higher image quality when rendered relative to other pixels in the image. Acquisition and adaptive-quality compression are performed simultaneously by semi-synchronously or asynchronously temporally modulating an ordered set of sampling functions used to spatially modulate a pattern of light. The teachings hereof improve compression efficiency of a compressed sensing framework while improving encoding efficiency with respect to traditional compressed sensing techniques.
Abstract:
What is disclosed a system and method for estimating a position (or pose) of a camera relative to a surface upon which an object rests in an image captured by that camera such that a volume can be estimated for that object. In one embodiment, a matrix K is determined from parameters intrinsic to a camera used to capture image. An amount of a camera translation T is determined with respect to a set of real-world coordinates in (X,Y,Z). An amount of a camera rotation matrix R is determined from camera angles measured with respect to the real-world coordinates. A distance Zc of the camera at location (i,j) can then be estimated. A volume of the object in an image of that object can be estimated from the camera pose.
Abstract:
What is disclosed is a system and method for adaptively reconstructing a depth map of a scene. In one embodiment, upon receiving a mask identifying a region of interest (ROI), a processor changes either a spatial attribute of a pattern of source light projected on the scene by a light modulator which projects an undistorted pattern of light with known spatio-temporal attributes on the scene, or changes an operative resolution of a depth map reconstruction module. A sensing device detects the reflected pattern of light. A depth map of the scene is generated by the depth map reconstruction module by establishing correspondences between spatial attributes in the detected pattern and spatial attributes of the projected undistorted pattern and triangulating the correspondences to characterize differences therebetween. The depth map is such that a spatial resolution in the ROI is higher relative to a spatial resolution of locations not within the ROI.