98 results about "Computational photography" patented technology

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.

Technologies involving portable devices, such as smartphones and tablet computers, are disclosed. One arrangement enables a creator of content to select software with which that creator's content should be rendered—assuring continuity between artistic intention and delivery. Another uses the camera of a smartphone 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 technologies concern improvements to the user interfaces associated with such devices. Others involve use of these devices in 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.

Arrangements involving portable devices (e.g., smartphones and tablet computers) are disclosed. One arrangement enables a content creator to select software with which that creator's content should be rendered—assuring continuity between artistic intention and delivery. Another utilizes a device camera 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 technologies concern improvements to the user interfaces associated with such devices. For example, some arrangements enable discovery of both audio and visual content, without any user requirement to switch modes. Other technologies involve use of these devices in connection with shopping, text entry, 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 computational photography. A great variety of other features and arrangements are also detailed.

Methods and arrangements involving portable devices are disclosed. One arrangement enables a content creator to select software with which that content should be rendered—assuring continuity between artistic intention and delivery. Another arrangement utilizes the camera of a smartphone 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.

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 which that creator's content should be rendered—assuring continuity between artistic intention and delivery. Another arrangement utilizes the camera of a smartphone 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.

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.

The present invention extends on-chip lensless microscope systems (10), including optofluidic microscope (OFMs) and holographic imaging microscopes to incorporate computational photography principles. A LF-OFM system 10 includes at least one plasmonic lens (50) with apertures (38), at least one microfluidic channel (28), and an image sensor array (24). The system (10) is capable of generating an image through computational photography.

The invention discloses a multiple stumpage breast height diameter passive measurement method based on a depth extraction model. The multiple stumpage breast height diameter passive measurement methodbased on the depth extraction model comprises the following steps: step 1, calibrating a mobile phone camera, and obtaining camera internal parameters and an image resolution; step 2, establishing adepth extraction model (which is as shown in the specification); step 3, collecting and processing an image of a stumpage to be measured, and calculating a stumpage depth value in a photogrammetric coordinate system; and step 4, measuring multiple stumpage breast height diameter values in a single image (the formula is shown in the specification). The multiple stumpage breast height diameter passive measurement method based on the monocular vision and the depth extraction model disclosed by the invention can be applied to cameras with different parameters such as field of view, focal length, image resolution and the like, which improves range accuracy and measurement efficiency, and provides a support to forestry resource surveys and forestry resource management.

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.

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.

For creating a single image from two images taken at different exposure setting when a face is detected, an apparatus includes an image sensor and a processor. The processor calculates a first exposure value for the photographic subject matter. Here, the first exposure value is calculated using the photographic subject matter as a whole. The processor determines whether a face is present within the photographic subject matter. In response to the determining that a face is present, the processor calculates a second exposure value. Here, the second exposure value is calculated to correctly expose the face. The processor controls the image sensor to capture a first image using the first exposure value and a second image using the second exposure value. The processor creates a third image using the first image and the second image.

The invention discloses an image high dynamic range reconstruction method based on deep learning, and belongs to the field of computational photography and digital image processing. A mapping networkfrom a single LDR image to an HDR image is established by adopting a method based on deep learning. The method comprises the steps of generating LDR training data, HDR sample tags with aligned brightness units and mask images of high-brightness areas sequentially from a collected HDR data set; and then constructing and training a neural network to obtain a network model with an LDR-to-HDR mappingrelationship; and finally, directly inputting the LDR image into the network model by using the trained generative network model, thereby outputting the reconstructed HDR image. According to the method, the dynamic range of a real scene can be effectively reconstructed from a single common digital image, and the method can be used for HDR simulation effect display of the common digital image or providing a more realistic rendering effect for an image-based lighting technology.

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.

Subtracting the date of taking a registrant's face image from the date of taking a photographic image of a person to be recognized, the number of elapsed years Y of the registrant's face image is calculated. If Y<5, an unsophisticated image comparator is selected. If 5≦Y<10, a first face parts comparator is selected to calculate the degree of resemblance between the photographic image and the registrant's face image more precisely than the unsophisticated image comparator. If 10≦Y, a second face parts comparator is selected. If the face image is a child's, the second face parts comparator compares the photographic image not only with the child's face image but also with his/her cognate's face image. After the photographic image is compared with every registrant's face image, the personal data of the top four registrants having the highest degree of resemblance is displayed on an LCD.

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.

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.

A camera comprises a spatial modulation optical filter that is disposed in a viewfinder optical system for subject observation at or near a position optically equivalent to an estimated image forming plane of a photographic optical system and modulates a subject light flux entering via the photographic optical system with transmission characteristics to obtain a light flux having a predetermined spatial frequency; a photoelectric conversion device that outputs a signal corresponding to detected light; an optical element that guides the subject light flux having been modulated at the spatial modulation optical filter to the photoelectric conversion device; and a focal adjustment state calculation means that calculates a focal adjustment state of the photographic optical system based upon the signal output from the photoelectric conversion device having received the modulated subject light flux.