Abstract: An exemplary object detection method includes generating feature block components representing an image frame, and analyzing the image frame using the feature block components. For each feature block row of the image frame, feature block components associated with the feature block row are evaluated to determine a partial vector dot product for detector windows that overlap a portion of the image frame including the feature block row, such that each detector window has an associated group of partial vector dot products. The method can include determining a vector dot product associated with each detector window based on the associated group of partial vector dot products, and classifying an image frame portion corresponding with each detector window as an object or non-object based on the vector dot product. Each feature block component can be moved from external memory to internal memory once implementing the exemplary object detection method.

Abstract: A medical image diagnosis apparatus of an embodiment includes: an image generation unit configured to generate a first image which is an original image, from a medical image taken by a medical imaging unit; an image conversion unit configured to process the first image to output a second image where a color tone of a predetermined region in the first image is kept and a color tone of a region other than the predetermined region is converted; and an image output unit configured to supply the second image to an output apparatus.

Abstract: A method of reducing computational demand for image tracking includes first receiving a plurality of images of a load hoisted with hanging wire in a preset transitional space, setting at least one monitoring point each at the load and the hanging wire, respectively, providing a tracking frame at the outer periphery of each monitoring point, allowing each tracking frame to track on its corresponding monitoring point that each monitoring point is kept on a relative location within each corresponding tracking frame, and producing the same displacement as that of the monitoring point, and lastly computing the displacement of each tracking frame thus obtaining the displacement of each monitoring point in correspondence to the tracking frame to calculate various displacement of the hanging wire and the load, respectively. With this image tracking method, the processing quantity of whole image data is effectively decreased and computational demand of equipments is reduced.

Abstract: A method and system for patient-specific planning and guidance of an ablation procedure for cardiac arrhythmia is disclosed. A patient-specific anatomical heart model is generated based on pre-operative cardiac image data. The patient-specific anatomical heart model is registered to a coordinate system of intra-operative images acquired during the ablation procedure. One or more ablation site guidance maps are generated based on the registered patient-specific anatomical heart model and intra-operative patient-specific measurements acquired during the ablation procedure. The ablation site guidance maps may include myocardium diffusion and action potential duration maps. The ablation site guidance maps are generated using a computational model of cardiac electrophysiology which is personalized by fitting parameters of the cardiac electrophysiology model using the intra-operative patient-specific measurements. The ablation site guidance maps are displayed by a display device during the ablation procedure.

Abstract: A unified framework detects and classifies people interactions in unconstrained user generated images. Previous approaches directly map people/face locations in two-dimensional image space into features for classification. Among other things, the disclosed framework estimates a camera viewpoint and people positions in 3D space and then extracts spatial configuration features from explicit three-dimensional people positions.

Abstract: An automated or semi-automated system and methods are disclosed that provide a rapid and repeatable method for identifying lung, lobe, and fissure voxels in CT images, and allowing for quantitative lung assessment and fissure integrity analysis. An automated or semi-automated segmentation and editing system and methods are also disclosed for lung segmentation and identification of lung fissures.

Abstract: A method for real-time fusion of a 2D cardiac ultrasound image with a 2D cardiac fluoroscopic image includes acquiring real time synchronized US and fluoroscopic images, detecting a surface contour of an aortic valve in the 2D cardiac ultrasound (US) image relative to an US probe, detecting a pose of the US probe in the 2D cardiac fluoroscopic image, and using pose parameters of the US probe to transform the surface contour of the aortic valve from the 2D cardiac US image to the 2D cardiac fluoroscopic image.

Abstract: Methods and systems are disclosed for assessing a quantitative image volume from an individual subject comprising comparing the image from the subject to images from a control group of subjects using voxel-wise comparison. The methods allow detection of pathologies or lesions in the individual subject being assessed.

Abstract: The present disclosure relates generally to advanced digital signal processing including digital watermarking. One claim recites an apparatus comprising: memory for storing a color video signal or color image signal comprising first data representing a first chrominance direction and second data representing a second chrominance direction; and a processor programmed for: transforming the first data representing the first chrominance direction by encoding a first digital watermark component in the first data, the encoding a first digital watermark component in the first data utilizing a first encoding gain, and transforming the second data representing the second chrominance direction by encoding a second digital watermark component in the second data, the encoding a digital watermark signal in the second data utilizing a second encoding gain, wherein the second digital watermark component comprises an inverted signal relative to the first digital watermark component.

Abstract: A three-dimensional object detection device includes an image capturing unit, an image conversion unit, a three-dimensional object detection unit, a movement speed calculation unit, a three-dimensional object assessment unit, a non-detection-object assessment unit and a control unit. The image conversion unit converts a viewpoint of the images to create bird's-eye view images. The three-dimensional object detection unit detects a presence of a three-dimensional object within the predetermined detection area based on difference waveform information. The movement speed calculation unit calculates a movement speed of the three-dimensional object. The non-detection-object assessment unit detect san amount of variability in the movement speed of the three-dimensional object, and assesses whether the three-dimensional object is a non-detection object based on the amount of variability.

Abstract: Provided is a system for predicting production of a fruit tree, including a plant image obtaining unit collecting images of a fruit tree and confirming identification information about the fruit tree from the collected images, a branch pattern recognizing unit receiving an image of the fruit tree whose identification information is confirmed and extracting fruit bearing branches from among various kinds of branches belonging to the fruit tree, a fruit tree bud recognizing unit receiving an image of each of the extracted fruit bearing branches and extracting information about buds that fruits are actually to be born from among buds belonging to the fruit bearing branch, a meta database storing previous production predicting information about the fruit tree corresponding to the collected images, and a production estimating unit comparing the received bud information and the previous production predicting information to predict production of the fruit tree.

Abstract: Embodiments provide a video camera that can be configured to allow tagging of recorded video and/or capture of video segments or sequences of images in response to user actuation of a camera control identifying an event of interest. For example, a user may press a button on the camera when an event of interest occurs, and in response the camera may tag a captured video file at a timestamp corresponding to the event. In another example, the user may initiate capture of video segments or sequences of images at an occurrence of an event of interest by pressing a button. The camera may include an image data buffer that may enable capture of video segments and/or sequences of images occurring before the user initiates capture of the event. User interfaces may enable the user to quickly review the captured video or sequences of images of the events of interest.

Abstract: An image processing apparatus includes an attention area detection unit, a luminance parallax conversion unit, and a parallax estimation unit. The attention area detection unit is configured to detect an attention area including a desired subject from a standard image. The luminance parallax conversion unit is configured to perform a luminance parallax conversion with respect to the attention area on the basis of a luminance parallax conversion characteristic estimated by using a past frame. The parallax estimation unit is configured to perform parallax estimation on the basis of the standard image and a reference image, a viewpoint position of which is different from that of the standard image, and perform, in the attention area, the parallax estimation by using a luminance parallax conversion result obtained by the luminance parallax conversion unit.

Abstract: The invention relates to a method of fog and raindrop detection on a windscreen (200), comprising a raindrop detection application (201) and a fog detection application (202), characterized in that said fog detection application (202) comprises a step (202b) in which an indication of the presence of raindrop is detected, said indication of raindrop presence triggering a switch from said fog detection application (202) to said raindrop detection application (201).

Abstract: Novel tools and techniques are described for identifying objects and/or persons. In one aspect, a method might comprise obtaining a digital image of an object(s) with a digital image recording device. The digital image may be transmitted to a remote computer system, and compared to multiple preexisting digital images using an image comparison software application running thereon. A set of preexisting digital images matching the digital image of the object(s) may be identified, and a (best match) keyphrase associated with the preexisting digital images may be determined. The keyphrase may be returned to a user computer for user confirmation or rejection. In some embodiments, a point cloud may be generated for each object in the image, and fitted with available 3D models, so as to confirm the keyphrase. In some embodiments, the confirmed keyphrase may be sent to a user computer for implementation in a cadastral survey application.

Abstract: An image processing device configured to detect a detection target, which is all or a part of a predetermined main body on an image has a detection target detection unit that detects an estimated detection target that the image processing device assumes to be the detection target from the image, a heterogeneous target determination unit that determines whether the estimated detection target detected by the detection target detection unit is an estimated heterogeneous target that the image processing device assumes to be a heterogeneous target, which is all or a part of a main body different in class from the main body, and a detection target determination unit that determines whether the estimated detection target detected by the detection target detection unit is the detection target based on a determination result of the heterogeneous target determination unit.

Abstract: Systems and methods for image guided surgery are disclosed herein. An example method can include: receiving a plurality of 2D projection images of an object at a plurality of projection angles during a first period of time; and receiving a position of an instrument relative to a tracking coordinate system during the first period of time. The method can also include registering the plurality of 2D projection images relative to the tracking coordinate system to obtain a transformation function that defines a relationship between a coordinate system of the plurality of 2D projection images and the tracking coordinate system; receiving an adjusted position of the instrument relative to the tracking coordinate system during a second period of time that is subsequent to the first period of time; and estimating an adjusted position of the instrument relative to the plurality of 2D projection images using the transformation function.

Abstract: Acquired mask data of a defect portion is sent to a simulated repair circuit 300 to be simulated. The simulation of the acquired mask data 204 is returned to the mask inspection results 205 and thereafter sent to a wafer transfer simulator 400 along with a reference image at the corresponding portion. A wafer transfer image estimated by the wafer transfer simulator 400 is sent to a comparing circuit 301. When it is determined that there is a defect in the comparing circuit 301, the coordinates and the wafer transfer image which is a basis for the defect determination are stored as transfer image inspection results 206. The mask inspection results 205 and the transfer image inspection result 206 are then sent to the review device 500.

Abstract: In one example embodiment, an information processing apparatus, for an observed image associated with an observation target object (e.g., a section of biological tissue), associates and stores position information and observation magnification information. In this embodiment, the information processing apparatus causes a display device to: (i) display an image associated with the observation target object; (ii) indicate the first positional information of the first observed image; and (iii) indicate the first observation magnification information of the first observed image.

Abstract: Systems and methods for facilitating video fingerprinting are provided. In one embodiment, a system can include: a memory, a microprocessor, a communication component that receives a video, and a video fingerprinting component that fingerprints the video with a subfingerprint (SFP). The video fingerprinting component can employ an SFP component stored in the memory and that comprises: a feature extraction component that determines local descriptors for at least one frame of a video; and a quantization component that quantizes the local descriptors to generate first frame information including a set of values for the at least one frame. The SFP component can also include: an accumulation component that accumulates first frame information over a snippet of the video; and an SFP generation component that computes the SFP associated with the snippet. The SFP can be computed based on a hash based on the accumulated first frame information over the snippet.