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99 results about "Computational photography" patented technology

Computational photography refers to digital image capture and processing techniques that use digital computation instead of optical processes. Computational photography can improve the capabilities of a camera, or introduce features that were not possible at all with film based photography, or reduce the cost or size of camera elements. Examples of computational photography include in-camera computation of digital panoramas, high-dynamic-range images, and light field cameras. Light field cameras use novel optical elements to capture three dimensional scene information which can then be used to produce 3D images, enhanced depth-of-field, and selective de-focusing (or "post focus"). Enhanced depth-of-field reduces the need for mechanical focusing systems. All of these features use computational imaging techniques.

Smartphone-based methods and systems

Methods and arrangements involving portable devices, such as smartphones and tablet computers, are disclosed. Exemplary arrangements utilize the camera portions of such devices to identify nearby subjects, and take actions based thereon. Others rely on near field chip (RFID) identification of objects, or on identification of audio streams (e.g., music, voice). Some of the detailed technologies concern improvements to the user interfaces associated with such devices. Others involve use of these devices in connection with shopping, text entry, sign language interpretation, and vision-based discovery. Still other improvements are architectural in nature, e.g., relating to evidence-based state machines, and blackboard systems. Yet other technologies concern use of linked data in portable devices—some of which exploit GPU capabilities. Still other technologies concern computational photography. A great variety of other features and arrangements are also detailed.
Owner:DIGIMARC CORP

Method and apparatus for red-eye detection

A method and an apparatus automatically detect red-eye regions in a photographic image. The method according to one embodiment accesses digital image data representing a color photographic image; detects red-eye candidate regions in the photographic image by processing the digital image data, the step of detecting red-eye candidate regions including calculating feature values for multiple positions of the photographic image, and identifying red-eye candidate regions based on the calculated feature values resulting from the calculating step; and performs face detection to determine whether an identified red-eye candidate region is associated with a face.
Owner:FUJIFILM CORP

Smartphone-based methods and systems

Methods and arrangements involving portable devices, such as smartphones and tablet computers, are disclosed. One arrangement enables a creator of content to select software with for rendering that creator's content - assuring continuity between artistic intention and delivery. Another arrangement utilizes the smartphone camera to identify nearby subjects, and take actions based thereon. Othe rely on near field chip (RFID) identification of objects, or on identification of audio streams (e.g., music, voice). Some of the detailed technologies concern improvements to the user interfaces associated with such devices. Others involve use of these devices in connection with shopping, text entry, sign language interpretation, and vision-based discovery. Still other improvements are architectural in nature, e.g., relating to evidence-based state machines, and blackboard systems. Yet other technologies concern use linked data in portable devices - some of which exploit GPU capabilities. Still other technologies concern computational photography.
Owner:DIGIMARC CORP

Method for calculating camera field angle

The invention discloses a method for calculating a camera field angle, which is based on an automatic follow focus device for video target tracking. The method comprises a first step of booting a red dot laser transmitter; and a second step of controlling a lens zooming ring to rotate to a certain angle by a hand, in the meantime, controlling a cloud holder motor to rotate, so as to enable the red dot laser transmitter to point to the edge of a camera field, storing the rotation angle of the current lens zooming ring and the camera field angle simultaneously, repeating the above process more than once, and recording the correspondences of the rotation angles of multiple lens zooming rings and the camera field angle. According to the method, the current field angle of the camera is calculated through detection of the focal distance of the zooming lens, and the method can automatically calculate the camera field angle according to the change of the lens focal distance and is simple to operate.
Owner:MOVCAM TECH

Quick reconstruction method of double-camera spectral imaging system based on GPU

The invention discloses a quick reconstruction method of a double-camera spectral imaging system based on a GPU, and relates to a method which can quickly acquire a high-resolution hyperspectral image, wherein the method relates to the field of computational photography. The method is applied on a double-camera spectral imaging system based on coded aperture snapshot spectral imaging and a gray-scale camera. A hyperspectral image reconstruction problem is converted to a plurality of sub optimization problems, and furthermore a GPU is utilized for finishing solving of each sub problem. A cuBLAS database and a conjugate gradient reduction method are utilized for updating the hyperspectral image. A soft-threshold function is utilized for updating an auxiliary variable. Iteration is performed for finishing reconstruction of the hyperspectral image. The method of the invention can realize high-quality hyperspectral image reconstruction of the double-camera spectral imaging system and furthermore has advantages of ensuring high spatial resolution and high spectral fidelity of a reconstruction result, greatly improving reconstruction efficiency of the hyperspectral image, and expanding application range of the hyperspectral image. The quick reconstruction method can be used in a plurality of fields of manned space flight, geological exploration, vegetation studying, etc.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY

Automatic follow focus device based on video target tracking

The present invention discloses an automatic follow focus device based on video target tracking, which comprises: a cradle head, a cradle head motor, a cradle head motor driver, a distance measuring sensor used for measuring the distance from a movable target in real time and installed on the cradle head, a video collecting card used for receiving a video signal of a camera and outputting the video signal to a video terminal, the video terminal provided with video target tracking software in advance and used for receiving the video signal of the video collecting card and outputting coordinate values of a followed target relative to an image, a first lens motor and a second lens motor used for driving a focusing ring and a zooming ring of a lens, a lens motor driver used for driving the first lens motor and the second lens motor, and a main controller used for receiving a target distance value outputted by the distance measuring sensor and target coordinate values outputted by the video terminal and controlling the cradle head motor driver and the lens motor driver. The automatic follow focus device of the present invention has the advantages of automatic computation of field angles of the camera, no need of calibration and simple operation.
Owner:MOVCAM TECH

Positioning method of remote sensing image of side-looking radar

The invention relates to a positioning method of a remote sensing image of a side-looking radar, which takes elements of exterior orientation of the image as orientation parameters and comprises the following steps: (1) acquiring a remote sensing image of a side-looking aerial radar and a POS observed value of a measurement region or a remote sensing image of a side-looking aerial radar and track and attitude observed values; (2) computing the initial values of line elements of exterior orientation in the photogrammetric coordinate system; (3) computing the initial values of angle elements of exterior orientation in the attitude reference coordinate system; (4) measuring or matching control points and connection points of the original image; (5) acquiring a distance-coplanarity equation, and acquiring the refined values of the elements of exterior orientation through aerial triangulation; and (6) correcting the image or three-dimensionally positioning the image according to the refined elements of exterior orientation. The method can improve the accuracy of geometric correction and three-dimensional positioning of the remote sensing image of the current side-looking radar; the provided scheme can perform important functions in orientation, baseline solution, geometric correction and ground three-dimensional reconstruction of the image of a real aperture radar and the remote sensing image of a synthetic aperture radar; and the invention has better technical effect.
Owner:CHINESE ACAD OF SURVEYING & MAPPING

Reconstruction method of snapshot spectral imaging system based on tensor low-rank constraint

The invention discloses a reconstruction method of a snapshot spectral imaging system based on tensor low-rank constraint, and belongs to the field of computational photography. The method is appliedto two snapshot spectral imaging systems, namely, a coded aperture snapshot spectral imaging system and a dual-camera spectral system based on a panchromatic camera. The reconstruction method comprises the steps of firstly, constructing a three-dimensional tensor by using the non-local similarity of a hyperspectral image, then mining structural characteristics of the three-dimensional tensor by using a dimension-discriminative low-rank tensor regularization (DLTR) model, wherein the structural characteristics include the spatial self-similarity, the spectral correlation and the space-spectrumjoint correlation; and finally, alternately updating and iteratively solving so as to complete the high-precision hyperspectral image reconstruction. According to the invention, the high-dimensional physical characteristics of the hyperspectral image can be better transmitted, the internal structural characteristics of the hyperspectral image can be better mined, the reconstruction quality of thesnapshot spectral imaging system is greatly improved, and the method has the advantage of high reconstruction precision.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY

A high-quality reconstruction method of a spectral imaging system based on a convolutional neural network

The invention discloses a high-quality reconstruction method of a spectral imaging system based on a convolutional neural network, and belongs to the field of computational photography. The method isapplied to a snapshot spectral imaging system based on a coded aperture, spatial correlation and spectral correlation between images are considered in the reconstruction process of a hyperspectral image, residual error learning is used for accelerating the training speed and the convergence rate of a network, and a GPU is used for completing optimization solving of the whole network. Network parameters are updated by using a random gradient descent method; and block-by-block processing is performed to complete reconstruction of the hyperspectral image. According to the method, hyperspectral image reconstruction of the CASSI spectral imaging system can be completed in a high-quality mode, it is guaranteed that a reconstruction result has high spatial resolution and high spectral fidelity, meanwhile, the efficiency of hyperspectral image reconstruction is greatly improved, and the application range of hyperspectral images is expanded. The method can be applied to the fields of geologicalexploration, agricultural production, biomedicine and the like.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY
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