1149 results about "Imaging condition" patented technology

In a digital camera, control operations, such as an AF (automatic focusing) operation which is performed immediately after zooming or panning of the camera, can be performed quickly in an appropriate manner. When a zoom lens 3 is driven to zoom “up”(“in”), a control processor and timing generator 40 uses, of imaging conditions data, such as distance measuring data and photometering data, which are obtained at a wide viewing angle before zooming up, a portion of the imaging conditions data corresponding to a “tele” (telephoto) viewing angle after zooming up, to thereby perform AF, AE, and/or AWB operations after zooming up. When the user pans the camera to shift the viewing angle out of the range of the original wide viewing angle, the data of an area of the image plane of the wide viewing angle closest to the image plane of a new post-panning viewing angle is reused. In a digital camera having a plurality of image capturing optical systems which are switched in response to a zoom position, data obtained by the pre-switching image capturing optical system is reused by a selected post-switching image capturing optical system.

A system and method for capturing image data captures images responsive to programmed sequences. The sequences are performed on a periodic basis as well as in response to inputs corresponding to alarm conditions and transactions conducted at automated banking machines or other devices. Image data may also be captured in response to image conditions including the sensing of motion or the loss of usable video from selected cameras. Image data is stored in connection with data corresponding to circumstances associated with each triggering event. Stored image data may be searched by one or more parameters. Parameters include data stored in association with each image, types of events causing image data to be stored, as well as other image conditions in stored images.

The invention discloses a face recognition method, device, system and apparatus based on a convolutional neural network (CNN). The method comprises the following steps: S1, face detection: using a multilayer CNN feature architecture; S2, key point positioning: obtaining the key point positions of the face by using connecting reference frame regression networks in a cascaded way in deep learning; S3, preprocessing: obtaining a face image with a fixed size; S4, feature extraction: obtaining a feature representative vector by means of a feature extraction model; and S5: feature comparison: determining the similarity according to a threshold or giving a face recognition result according to distance sorting. The method adds a multilayer CNN feature combination to a traditional CNN single-layer feature architecture to treat different imaging conditions, trains a face detection network with good robustness in the monitoring environment from massive image data sets based on a deep convolution neural network algorithm, reduces a false detection rate, and improves detection response speed.

A device and method for automatically adjusting an image condition in a display is, disclosed. The present device and method optimizes the image condition of a display according to individual preferences by taking into account the brightness and color temperature set initially by a user. Particularly, the present invention includes a photo sensor to detect the environmental illumination and a micro processor utilizing the detected data to appropriately adjust the image condition with respect to a user <CUSTOM-CHARACTER FILE="US06292228-20010918-P00001.TIF" ID="CUSTOM-CHARACTER-00001"> preference.

A jacket for radio frequency (RF) shielding a Magnetic Resonance Device (MRD) from external environment electromagnetic interference during its operation, which allows for homogenized imaging conditions. The RF shielding jacket is sized and shaped like an envelope to accommodate the MRD, with at least a portion of the RF shielding jacket including an electromagnetic interference shield. The RF shielding jacket is also combined with passive temperature insulating properties.

A magnetic resonance imaging system includes an MR signal reception apparatus comprising a receiving multi-coil and a switchover member. The receiving multi-coil receives MR signals and is composed of a plurality of element coils. The switchover member is configured to switch reception states of the MR signals received by the plurality of element coils in response to imaging conditions. The switchover member connects output paths of the MR signals from the plurality of element coils to a receiver, to reception channels in the receiver in response to the imaging conditions. The reception channels is less in number than the element coils. The imaging conditions are for example directed to parallel MR imaging.

In a medical imaging system including plural imaging section, detection accuracy and examination efficiency for breast cancer are improved by setting appropriate imaging condition. The system includes: a first imaging section for imaging an object to be inspected by using one of radiation, ultrasonic waves, nuclear magnetic resonance, positron, infrared light and fluorescence to generate a medical image; a second imaging section for imaging the object by using another one of radiation, ultrasonic waves, nuclear magnetic resonance, positron, infrared light and fluorescence to generate a medical image; and an imaging condition setting section for setting imaging condition in the second imaging section based on the medical image generated by the first imaging section.

A magnetic resonance imaging apparatus includes an imaging condition setting unit, a scan performing unit and a blood flow image generating unit. The imaging condition setting unit sets a sequence accompanying application of a motion probing gradient pulse as an imaging condition. The scan performing unit performs an imaging scan according to the sequence. The blood flow image generating unit generates a blood flow image based on data acquired by the imaging scan.

An imager (200) including a spatially varying optical element (204) which moves while the imager records a sequence of images. The optical element (204) can be an intensity reduction filter, a spectral or polarization filter, or a refractive or reflective element. Because the optical element (204) moves between frames, each scene portion is captured under a range of imaging conditions. A spatially varying intensity reduction filter enables imaging of each scene portion using multiple, different exposure to generate a high dynamic range image. A spatially varying spectral or polarization filter enables measurement of the spectral or polarization characteristics of radiation from each scene portion. A refractive or reflective element enables imaging of scene portions under various focal characteristics, thereby providing depth information and producing an image which is focused everywhere. A refractive or reflective element is used to apply different vertical and/or horizontal shifts to the different frames, thereby generating an enhanced-resolution image.

The invention discloses an elastic reverse time migration imaging method by combining seismic multi-component and belongs to the field of exploration geophysics. The method comprises the following steps: directly inputting seismic multi-component data; without performing the wave field separation on the input data, extrapolating forwards at inverse time based on an elastic wave equation; building an underground elastic vector seismic wave field by combining with multi-component; acquiring four elastic wave imaging results having specific physical significance, such as longitudinal wave, transverse wave, transition longitudinal wave and transition transverse wave, by applying an elastic wave cross-correlation imaging condition of lighting compensation; and suppressing the low wave number noise in the elastic reverse time migration by performing low-pass angle filtering, thereby acquiring an imaging result of final elastic wave migration. By directly inputting the seismic multi-component data and building the underground elastic vector seismic wave field by combining with multi-component, the method can be used for accurately imaging for complex earth medium.

A calibration algorithm is provided for calibrating a machine vision system including a color camera, a framegrabber and an illumination source wherein subsequently acquired images are processed on a pixel-by-pixel basis. After framegrabber offsets are measured to obtain initial or offset calibration data, the camera is pointed at a target monotone patch of known reflectance such as pure white and the camera outputs for red, green and blue are determined while observing the monotone patch to obtain spatial calibration data. The gain for each of the output channels of the color camera is automatically determined from the initial calibration data. Applying the three gain factors to a subsequent image on the pixel-by-pixel basis allows one to end up with a color-corrected image without incurring any time performance penalty. At any time during an inspection process, a small area of white reflectance can be observed. The resulting dynamic white calibration data is used to correct for any medium to long term temporal variation in imaging conditions.

An endoscope unit includes a sequence pattern setting section in which a combination of sequence pattern which includes a plurality of parameters, each corresponding to imaging conditions of the image sensor on a frame-by-frame basis according to the type of the light source and control signal is set, an imaging condition setting section in which imaging conditions corresponding to each parameter are set, and an imaging control section that obtains the sequence pattern based on a control signal outputted from a control section of a processor unit, reads out the imaging conditions corresponding to each parameter included in the sequence pattern from the imaging condition setting section, and controls the imaging operation of the image sensor on a frame-by-frame basis based on the imaging conditions.

A solid-state imaging device includes a pixel array unit configured by arranging plural unit pixels including charge generating units and output transistors that output processing object signals corresponding to charges generated by the charge generating units, an imaging-condition determining unit that determines whether a large light-amount imaging condition, when an amount of light larger than that of light representing a saturation level is made incident on the charge generating units, is satisfied, and a control unit that performs control, on condition that the imaging-condition determining unit determines that the large light-amount imaging condition is satisfied, to correct an output signal based on processing object signals outputted from the unit pixels such that a harmful effect due to the large light-amount imaging condition is suppressed in the output signal.

An image file arrangement for identifying image defects in a plurality of imaged documents, where each imaged document includes at least one image rendition. The image file arrangement comprises an image quality flag file having a record entry for each of the plurality of imaged documents that has at least one image rendition with at least one identified image defect, wherein each record entry includes information about the at least one identified image condition for the least one flagged image rendition and an image index file including an image index file record for each imaged document, wherein for each imaged document having at least one image rendition having at least one identified image defect, the image index file record for that document includes a reference to the corresponding image quality flag file record and the image quality flag file record includes a reference to the corresponding image index file record.

The invention is a biometric system based on iris texture analysis, which overcomes the defects in the prior art that lack the support of iris image quality analysis mechanism and cannot complete the evaluation of iris texture image quality. The invention acquires iris texture images, automatically locates iris, evaluates and analyzes the quality of iris texture images, automatically tracks and detects living iris, standardizes polar coordinate transformation of iris analysis area, demodulates and expresses iris texture features, and generates feature code IrisID by quantization coding. Encoding IrisID similarity measurement, similarity measurement judgment and other steps are realized. The invention realizes the basic characteristic requirements of an ideal system: automaticity, non-invasiveness, friendly man-machine operation interface and high-quality imaging image; no correlation between geometric affine transformation and nonlinear affine deformation; no dependence on external imaging conditions ; Random probability distribution coding; High-precision false acceptance rate and false rejection rate performance.