Hyper3d Corp.

Other

Cyberlogic, Inc.

Bruno Bianco

Jonathan Joseph Kaufman

Alessandro E Chiabrera

In a presently preferred embodiment of the invention, a three-dimensional scene is reproduced on a specialized light display which offers full multiviewpoint capability and auto-stereoscopic views. The displayed image is produced using a set of M two-dimensional images of the scene collected at a set of distinct spatial locations. These M two-dimensional images are processed through a specialized mathematical encoding scheme to obtain a set of N&times;K display-excitation electrical-input signals, where K is the number of pixels in the display, and N&lE;M is the number of individual light-radiating elements within one pixel. The display is thus comprised of a total of N&times;K light-radiating elements. Each of the K pixels is adapted for control of their associated radiance patterns. The display is connected for response to the set of N&times;K display-excitation electrical-input signals. In this manner, the display provides a multiviewpoint and autostereoscopic three-dimensional image associated with the original three-dimensional scene. An alternative embodiment of the invention is utilized to provide efficient storage and display of 3D computer graphics images.

Three-dimensional display system: apparatus and method

A three-dimensional scene is reproduced on a specialized light display which offers full multiviewpoint capability and autostereoscopic views. The displayed image is produced using a set of M two-dimensional images of the scene collected at a set of distinct spatial locations. These M two-dimensional images are processed through a specialized mathematical encoding scheme to obtain a set of N&times;K display-excitation electrical-input signals, where K is the number of pixels in the display, and N&gE;M is the number of individual light-radiating elements within one pixel. The display is thus comprised of a total of N&times;K light-radiating elements. Each of the K pixels is adapted for control of their associated radiance patterns. The display is connected for response to the set of N&times;K display-excitation electrical-input signals. The display provides a multiviewpoint and autostereoscopic three-dimensional image associated with the original three-dimensional scene. An alternative embodiment of the invention is utilized to provide efficient storage and display of 3D computer graphics images.

In a presently preferred embodiment of the invention, a three-dimensional scene is reproduced on a specialized light display which offers full multiviewpoint capability and autostereoscopic views. The displayed image is produced using a set of M two-dimensional images of the scene collected at a set of distinct spatial locations. These M two-dimensional images are processed through a specialized encoding scheme to obtain a set of N&times;K display-excitation electrical-input signals, where K is the number of pixels in the display, and N&lE;M is the number of individual light-radiating elements within one pixel. The display is thus comprised of a total of N&times;K light-radiating elements. Each of the elements is adapted for control of their associated radiance patterns. The display is connected for response to the set of N&times;K display-excitation electrical-input signals. In this manner, the display provides a multiviewpoint and autostereoscopic three-dimensional image associated with the original three-dimensional scene. An alternative embodiment of the invention reproduces a temporal sequence of three-dimensional scenes, utilizing a temporal sequence of sets of M two-dimensional images, thus enabling application to three-dimensional television.

Three-dimensional display system apparatus and method

Non-invasive quantitative in-vivo electromagnetic evaluation of bone is performed by subjecting bone to an electrical excitation waveform supplied to a single magnetic field coil near the skin of a bony member, and involving a repetitive finite duration signal consisting of plural frequencies that are in the range 0 Hz-200 MHz. Signal-processing of a bone-current response signal and a bone-voltage response signal is operative to sequentially average the most recently received given number of successive bone-current and bone-voltage response signals to obtain an averaged per-pulse bone-current signal and an averaged per-pulse bone-voltage signal, and to produce their associated Fourier transforms. These Fourier transforms are further processed to obtain the inductively determined frequency-dependent bone-admittance function. A neural network, configured to generate an estimate of one or more of the desired bone-related quantities, is connected for response to the bone-admittance function, whereby to generate the indicated estimates of bone status, namely, bone-density, bone-architecture, bone-strength and bone-fracture risk. In another embodiment, a stochastic electromagnetic field generated by a single magnetic field coil is used to therapeutically treat living tissue in vivo.

Electromagnetic bone-assessment and treatment: apparatus and method

Non-invasive quantitative in-vivo electromagnetic evaluation of bone is performed by subjecting bone to an electrical excitation wave-form supplied to a pair of electrodes on opposite sides of a bony member, and involving a repetitive finite duration signal consisting of plural frequencies that are in the range 0 Hz-200 MHz. Signal-processing of a bone-current response signal and a bone-voltage response signal is operative to sequentially average the most recently received given number of successive bone-current and bone-voltage response signals to obtain an averaged per-pulse bone-current signal and an averaged per-pulse bone-voltage signal, and to produce their associated Fourier transforms. These Fourier transforms are further processed to obtain the frequency-dependent bone-admittance function. In a separate operation, the same electrodes respond to the same excitation signal via a medium of known electromagnetic properties and path length to establish a reference-voltage signal and reference-current signal, which are processed to produce their associated Fourier transforms. These two Fourier transforms are further processed to produce a frequency-dependent reference-admittance function, which together with the bone-admittance function are processed to derive the frequency-dependent bone-conductivity real function, .sigma.'.sub.b (f), and frequency-dependent dielectric bone-permittivity real function, .di-elect cons.'.sub.b (f). The function .sigma.'.sub.b (f) is related to the energy loss in the bony member, and the function .di-elect cons.'.sub.b (f) is related to the energy storage in the bony member. A neural network, configured to generate an estimate of one or more of the desired bone-related quantities, is connected for response to the functions .sigma.'.sub.b (f) and .di-elect cons.'.sub.b (f), whereby to generate the indicated estimates of bone status, namely, bone-density, bone-architecture, bone-strength and bone-fracture risk.

Electromagnetic bone-assessment apparatus and method

An unknown object is non-destructively and quantitatively evaluated for three-dimensional spatial distribution of a set of material constitutive parameters, using a multi-element array-source transducer and a multi-element array-detector transducer in spaced, mutually facing relation. The array-source transducer exposes the array-detector transducer to a set of source-field patterns pursuant to a set of electrical input signals. Either a known object or an unknown object positioned between these transducers will be the cause of scattering, thus presenting a scattered-field pattern to the array detector transducer, for each pattern of the set of source-field patterns. A computer, a signal processor and a neural network operate from detector response to each set of scattered-field patterns, in each of two modes. In an initial mode, the neural network is 'trained' or configured to process a set of transfer functions involved in array-detector response to scattered-field patterns produced by the known object; in another mode, the neural network utilizes its 'trained' configuration in application to a set of transfer functions involved in array-detector response to scattered-field patterns produced by an unknown object, to generate estimates of the three-dimensional spatial distribution of the material constitutive parameters of the unknown object.

3-D reconstruction of objects by artificial intelligence: apparatus and

An unknown object is non-destructively and quantitatively evaluated for three-dimensional spatial distribution of a set of material constitutive parameters of the unknown object, using a multi-element array-source transducer and a multi-element array-detector transducer located near the unknown object. The array-source transducer exposes the array-detector transducer to a set of source-field patterns pursuant to a set of electrical input signals. An unknown object located near these transducers will be the cause of scattering, thus presenting a scattered-field pattern to the array detector transducer, for each pattern of the set of source-field patterns. In a related computation, a set of training signals is determined by evaluating on a computer the scattered field from a set of computer simulated training objects. A computer, a signal processor and a neural network operate from detector response to the computer simulated and unknown object scattered-field patterns, in each of two modes. In an initial mode, the neural network is 'trained' or configured to process a set of transfer functions involved in array-detector response to scattered-field patterns evaluated by computer simulations for the known computer simulated objects; in another mode, the neural network utilizes its 'trained' configuration in application to a set of transfer functions involved in array-detector response to scattered-field patterns produced by an unknown object, to generate estimates of the three-dimensional spatial distribution of the material constitutive parameters of the unknown object. In another embodiment, a set of the Biot poro-elastic material parameters of an unknown object is estimated.

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Genoa, Italy

Bruno Bianco