Abstract: A system and method for lean ortho correction for computer models of structures. The system displays an image of a structure on a user interface and projects a structure model onto the image. Next, the system identifies a first world three-dimensional (“3D”) point in the image, a second world 3D point in the image, and a third world 3D point in the image. The system then transforms coordinates of the structure model using the first world 3D point, the second world 3D point, the third world 3D point, and a lean ortho correction algorithm.

Abstract: A system and method is provided for displaying surfaces of an object from a vantage point different from the vantage point from which imagery of the object was captured. In some aspects, imagery may be generated for display by combining visual characteristics from multiple source images and applying greater weight to the visual characteristics of some of the source images relative to the other source images. The weight may be based on the orientation of the surface relative to the location from which the image was captured and the location from which the object will be displayed.

Abstract: A system and method for lean ortho correction for computer models of structures. The system displays an image of a structure on a user interface and projects a structure model onto the image. Next, the system identifies a first world three-dimensional (“3D”) point in the image, a second world 3D point in the image, and a third world 3D point in the image. The system then transforms coordinates of the structure model using the first world 3D point, the second world 3D point, the third world 3D point, and a lean ortho correction algorithm.

Abstract: A method for template matching can include iteratively selecting a template set of points to project over a centerline of a candidate symbol; conducting a template matching analysis; assigning a score to each template set; and selecting a template set with a highest assigned score. For example, the score can depend on proximity of the template points to a center and/or boundaries of a principal tracing path of the symbol. Additionally, one or more template sets having a top rank can be selected for a secondary analysis of proximity of the template points to a boundary of a printing of the symbol. The method can further include using the template with the highest score to interpret the candidate symbol.

Abstract: An image processing method and apparatus, an electronic device, and a storage medium are provided. The method includes: determining a first image and first location information of a target region according to a reference image; cropping the target region to obtain a cropped image; performing noise reduction on the cropped image, and determining second location information of a face region and third location information of a body region; determining fourth location information of the face region and fifth location information of the body region in the first image according to the first location information, the second location information, and the third location information; and processing the first image according to the fourth location information and the fifth location information.

Abstract: A method and a hybrid 3D-imaging device for surveying of a city scape for creation of a 3D city model. According to the invention, lidar data is acquired simultaneously with the acquisition of imaging data for stereoscopic imaging, i.e. acquisition of imaging and lidar data in one go during the same measuring process. The lidar data is combined with the imaging data for generating a 3D point cloud for extraction of a 3D city model, wherein the lidar data is used for compensating and addressing particular problem areas of generic stereoscopic image processing, in particular areas with unfavourable lighting conditions and areas where the accuracy and efficiency of stereoscopic point matching and point extraction is strongly reduced.

Abstract: A tracking system includes an image capture device, a memory and a processor. The image capture device is used to capture a video stream in a target area. The memory stores face information. The processor reads the face information from the memory and reads the video stream from the image capture device. The processor is used to identify a face matching the face information in the video stream to track the movement of the face in the target area. The processor is used to determine whether a distance between the face and the image capture device is greater than a predetermined distance. The processor is used to track the movement of a human figure corresponding to the face in the target area when the processor determines that the distance is greater than the predetermined distance.

Abstract: Images that depict delivery locations associated with a customer may be captured or obtained. One or more classifiers may be utilized to detect and/or identify scene attributes that are depicted in the images and that are associated with the delivery location. One or more correlations between the scene attributes and delivery attributes associated with the delivery location may be determined and used to generate one or more scores for the delivery location. The correlation(s) and/or the score(s) may be utilized to determine delivery instructions that facilitate the delivery of items and/or packages to the delivery location.

Abstract: An object tracking apparatus, method and computer-readable medium for detecting an object from output information of sensors, tracking the object on a basis of a plurality of detection results, generating tracking information of the object represented in a common coordinate system, outputting the tracking information, and detecting the object on a basis of the tracking information.

Abstract: A method of one shot joint instance and pose recognition in an artificial neural network is presented. The method includes receiving a reference instance of a reference object from a reference image. The reference object has a first identity and a first pose in the reference instance. The method also includes generating a first orbit of the reference object comprising multiple additional poses including a second pose for the reference object. The method further includes recognizing a second instance of an example object from an example image. The example object has the first identity and the second pose in the second instance. The method still further includes recognizing the second pose and first identity of the example object based on comparing the first orbit with a second orbit of the example object.

Abstract: A method, a device and a computer program for conformity determination of cross-regional affairs. The method comprises obtaining characteristics from a description of an affair at least crossing a local region and a non-local region. The method further comprises generating a multi-level constraint based on the characteristics from a knowledge base, and the knowledge base includes regulations for cross-regional affairs, and the multi-level constraint includes a local constraint associated with the local region and a non-local constraint associated with the local region and the non-local region. Moreover, the method also comprises determining conformity of the affair to the multi-level constraint. The method can determine the conformity of the cross-regional affairs automatically, thereby reducing the consumption of human resources and the inconformity risk in the cross-regional affairs.

Abstract: A method for fill level determination, which can include receiving a set training set, training a neural network, selecting reference images, and/or determining a container fill level. A system for fill level determination, which can include a computing system, one or more containers, and/or one or more content sensors.

Abstract: An image processing apparatus and an image processing method where the apparatus includes: a self-encoder configured to perform self-encoding on an input image to generate multiple feature maps; a parameter generator configured to generate multiple convolution kernels for a convolution neural network based on the multiple feature maps; and an outputter configured to generate, by using the convolution neural network, an output result of the input image based on the input image and the multiple convolution kernels. With the image processing apparatus and the image processing method according to the present disclosure, an accuracy of processing an image by using the CNN network can be improved.

Abstract: A method of one-shot joint instance and pose recognition in an artificial neural network includes receiving a first instance of a reference object from a reference image. The reference object has a first identity and a first pose in the first instance. The method also includes generating a first orbit of the reference object comprising additional poses including a second pose for the reference object. The method further includes recognizing a second instance of an example object from an example image. The example object has the first identity and the second pose in the second instance.

Abstract: A remote control apparatus includes a display panel, an operation detector detecting an operation of touching the display panel, a remote controller remotely controlling an electronic apparatus in accordance with the touch operation, an item selection unit allowing a user to select a selection item in the display panel, a touch operation determination unit comparing a duration time of an operation of touching the selection item with a predetermined threshold value, a detailed information obtaining unit obtaining detailed information on the selection item from the electronic apparatus when the duration time is smaller than the threshold value, a related information obtaining unit obtaining related information on the selection item using the selection item as a searching condition from an external service apparatus when the duration time is equal to or larger than the threshold value, and a display controller controlling display of the detailed information or the related information.

Abstract: An image processing apparatus includes a reception unit, an acquisition unit, an enlarging/reducing unit, and a detector. The reception unit receives two image data to be compared. The acquisition unit acquires character sizes of characters contained in the two image data received by the reception unit. The enlarging/reducing unit enlarges or reduces the image data received by the reception unit such that the character sizes of the characters contained in the two image data acquired by the acquisition unit coincide with each other. The detector detects a difference between the two image data which have been enlarged or reduced by the enlarging/reducing unit such that the character sizes of the characters contained in the two image data coincide with each other.

Abstract: In one embodiment, L dimensional images are trained, mapped, and aligned to an M dimensional topology to obtain azimuthal angles. The aligned L dimensional images are then trained and mapped to an N dimensional topology to obtain 2N vertex classifications. The azimuthal angles and the 2N vertex classifications are used to map L dimensional images into O dimensional images.

Abstract: A new method of encoding multiple view image information into an image signal including adding to the image signal a first image of pixel values representing one or more objects captured by a first camera; adding to the image signal a map comprising for respective sets of pixels of the first image respective values, representing a three-dimensional position in space of a region of the one or more objects represented by the respective set of pixels, and adding to the image signal a partial representation of a second image of pixel values representing one or more objects captured by a second camera, the partial representation including at least information of the majority of the pixels representing regions of the one or more objects not visible to the first camera.

Abstract: A method for an electronic device with a display unit and an electronic device are provided. The method may comprise: obtaining an environmental parameter under an environment where the electronic device is disposed when the display unit is in a first display status, the environmental parameter including at least an environmental color temperature parameter of the environment and configured for adjusting the display status of the display unit; determining whether to adjust the display status based on at least the environmental color temperature parameter included in the environmental parameter to get a first determination result; and adjusting the display status from the first display status to a second display status different from the first display status if the first determination result indicates that it is to adjust the display status.

Abstract: In one embodiment, L dimensional images are trained, mapped, and aligned to an M dimensional topology to obtain azimuthal angles. The aligned L dimensional images are then trained and mapped to an N dimensional topology to obtain 2N vertex classifications. The azimuthal angles and the 2N vertex classifications are used to map L dimensional images into 0 dimensional images.

Abstract: Various systems and methods for automatically adjusting audio balance are described herein. A system for automatically adjusting audio balance includes a distance module to determine a distance from an audio speaker to an audience, the audio speaker being one of a plurality of audio speakers, an audio modification module to determine a modification to an audio characteristic of the audio speaker based on the distance, the modification to provide a balanced soundstage for the audience from the plurality of audio speakers, and a control module to apply the modification of the audio characteristic to the audio speaker.

Abstract: Methods and systems for providing landmarks to facilitate robot localization and visual odometry are provided herein. At least one area of a physical environment in which a robotic device resides may be determined to include surfaces that lack sufficient discernable features to determine a location of the at least one area. Instructions may responsively be provided to the robotic device for the robotic device to provide a material in respective patterns onto one or more surfaces of the at least one area. Instructions can responsively be provided for the robotic device to provide the material in respective textures as well. The respective patterns or textures may include sufficient discernable features to determine a location of the at least one area, and the material may remain on the one or more surfaces for a predetermined period of time.

Abstract: A method of matching image features with reference features comprises the steps of providing a current image, providing a set of reference features, wherein each of the reference features comprises at least one first parameter which is at least partially indicative of a position and/or orientation of the reference feature with respect to a global coordinate system, wherein the global coordinate system is an earth coordinate system or an object coordinate system, or at least partially indicative of a position of the reference feature with respect to an altitude, detecting at least one feature in the current image in a feature detection process, associating with the detected feature at least one second parameter which is at least partially indicative of a position and/or orientation of the detected feature, or which is at least partially indicative of a position of the detected feature with respect to an altitude, and matching the detected feature with a reference feature by determining a similarity measure.

Abstract: Apparatus and methods are disclosed for simultaneously tracking multiple finger and palm contacts as hands approach, touch, and slide across a proximity-sensing, multi-touch surface. Identification and classification of intuitive hand configurations and motions enables unprecedented integration of typing, resting, pointing, scrolling, 3D manipulation, and handwriting into a versatile, ergonomic computer input device.

Abstract: A remote control apparatus includes a display panel, an operation detector detecting an operation of touching the display panel, a remote controller remotely controlling an electronic apparatus in accordance with the touch operation, an item selection unit allowing a user to select a selection item in the display panel, a touch operation determination unit comparing a duration time of an operation of touching the selection item with a predetermined threshold value, a detailed information obtaining unit obtaining detailed information on the selection item from the electronic apparatus when the duration time is smaller than the threshold value, a related information obtaining unit obtaining related information on the selection item using the selection item as a searching condition from an external service apparatus when the duration time is equal to or larger than the threshold value, and a display controller controlling display of the detailed information or the related information.

Abstract: An image processing apparatus, includes: an acceptance unit that accepts image data and reading data read from a medium; an extraction unit that extracts a rectangular image by segmenting one image of the image data and the reading data to have a size calculated based on an error; a searching unit that searches for a matching position of a rectangular image in the other image of the image data and the reading data, which corresponds to a position of the rectangular image extracted by the extraction unit within a range of a movement amount calculated based on the size of the rectangular image extracted by the extraction unit and a predetermined size calculated by the error; and a comparison unit that compares the rectangular image extracted by the extraction unit with the rectangular image in the other image at the position searched by the searching unit.

Abstract: A game apparatus obtains a captured image captured by a camera. First, the game apparatus detects an object area of the captured image that includes a predetermined image object based on pixel values obtained at a first pitch across the captured image. Then, the game apparatus detects a predetermined image object from an image of the object area based on pixel values obtained at a second pitch smaller than the first pitch across the object area of the captured image.

Abstract: A method for compressing graphics data, the method comprising sorting a plurality of coverage masks into an order of descending number of samples covered by the plurality of coverage masks. A first coverage mask is identified. The first coverage mask comprises a greatest number of covered samples. Additional coverage masks of the plurality of coverage masks are compacted in the order of descending number of samples covered. Compacting additional coverage masks comprises removing samples from the coverage mask that are covered by any other compacted coverage mask.

Abstract: According to one embodiment, an electronic apparatus includes a line recognition module, a character recognition module and a generator. The line recognition module recognizes lines in a handwritten document. The character recognition module recognizes character codes corresponding to handwritten characters in a first line and a second line which follows the first line. The generator generates, if the first and second lines satisfy a condition, document data using first character codes corresponding to the first line and second character codes corresponding to the second line, the formed document data including either one of the first character codes at a position of the second line or including at least one of the second character codes at a position of the first line.

Abstract: A solid-state image capturing element includes: a plurality of pixels arranged in rows and columns, each of which outputs an electric signal corresponding to an amount of received light; a plurality of column signal lines each of which is disposed for a corresponding one of columns of the pixels and sequentially transfers the electric signal provided from the corresponding one of the columns of the pixels; and a plurality of holding circuits each of which is disposed for a corresponding one of the column signal lines and holds the electric signal transferred via the corresponding one of the column signal lines. Each of the holding circuits includes a circuit element including an input capacitance, and holds the electric signal in the input capacitance.

Abstract: A system including an image capturing unit configured to capture an image of at least one medical device monitoring a patient, a database including images of a plurality of medical devices, where each image corresponds to a particular medical device, and a data collection server configured to receive the at least one image, receive patient identification data corresponding to the patient, and identify the medical device in the image by comparing the received image with the images stored in the database and matching the received image with the images stored in the database.

Abstract: Systems, methods, and computer storage mediums are provided for matching multiple photographs together. An example method includes receiving a first collection of photographic images. The photographic images in the first collection are clustered into one or more composite sets of photographic images based on a comparison of the metadata associated with each photographic image in the first collection meeting a predetermined similarity threshold. An image overlap is determined between each photographic image within each of the one or composite sets of photographic images. When the image overlap exceeds a predetermined image overlap threshold, a pair of photographic images are matched, for all of the photographic images within each composite set of photographic images to form one or more composite images.

Abstract: A visual quality assessment method and system are based on deriving a quality metric by comparing sub-band approximations of a distorted image and an undistorted version of the same image, providing a good compromise between computational complexity and accuracy. The sub-band approximations are derived from Discrete Wavelet (Haar) transforms of small image blocks of each image. Due to inherent symmetries, the wavelet transform is “blind” to certain types of distortions. But the accuracy of the method is enhanced, and the blindness of the transform is overcome, by computing quality metrics for the distorted image as well as computing quality metrics for a shifted version of the distorted image and combining the results.

Abstract: In a first exemplary embodiment, an automated, computerized method is provided for processing an image. The method includes the steps of providing an image file depicting an image defined by image locations, in a computer memory, generating a bi-illuminant chromaticity plane in a log color space for representing the image locations of the image in a log-chromaticity representation for the image, providing a set of estimates for an orientation of the bi-illuminant chromaticity plane and calculating a single orientation for each one of the image locations as a function of the set of estimates for an orientation.

Abstract: A method of simulating the effect of distortion on a representation of a marker, such as a fingerprint is provided. The method is useful for generating data for use in various processes concerned with fingerprints and particularly avoids the need to manually generate and collect such data. The method includes obtaining a plurality of representations from an individual, the representations being subject to different distortions relative to one another. A function, such as a thin plate spline function, is then used to describe the effects of the different distortions on the plurality of representations obtained. This generic model of the effects of distortion can then be used to generate distortions for a further representation from an individual, preferably another individual. The simulated distorted representations can be used in a variety of ways.

Abstract: An image matching system is described for finding reference images that match a query image. The image matching system performs this operation in expeditious fashion by restricting the matching to a bounding region; the bounding region, in turn, may be associated with a location at which the query image may have been captured. In addition, the image matching system provides various mechanisms that expedite adding new reference images to an image index, to thereby provide a re-enforced learning mechanism of the image matching system.

Abstract: An information processing apparatus for matching a position and/or orientation of a measurement object with that of a model of the measurement object includes an acquisition unit configured to acquire a captured image of the measurement object, a calculation unit configured to calculate information indicating a surface shape of the measurement object based on the captured image, and a limitation unit configured to limit a position and/or orientation of the model based on the information indicating the surface shape.

Abstract: The present invention relates to an object learning method that minimizes time required for learning an object, an object tracking method using the object learning method, and an object learning and tracking system. The object learning method includes: receiving an image to be learned through a camera to generate a front image by a terminal; generating m view points used for object learning and generating first images obtained when viewing the object from the m view points using the front image; generating second images by performing radial blur on the first images; separating an area used for learning from the second images to obtain reference patches; and storing pixel values of the reference patches.

Abstract: An image processing device determines the degree of activity of a cell during cell viewing. An imaging device captures first and second images of a cell under observation. After aligning the rotational angle orientations on the image plane of the cell under observation that is included in the images, a correlation value or difference of intracellular texture feature values in the first image and second image, is sequentially computed. A time series variation of the computed correlation value or difference is then derived, and the degree of activity of the cell under observation is detected based on the state of variation.

Abstract: A display test apparatus includes a determination information storage unit that stores a determination information for use in determining correctness of content displaying, a file acquisition unit that acquires a file, a content image creation unit that creates an image of content to be displayed on the basis of the file, a content image analysis unit that analyzes a displaying of the content on the basis of the image of content, a determination unit that determines whether the content is correctly displayed on the basis of the determination information and a result of the analysis by the content image analysis unit, and an output unit that outputs a determination result information indicating a result of the determination by the determination unit.

Abstract: Methods and apparatuses for identifying an image based on Embedded Media Marker (EMM) identification. A hierarchal comparison including a first coarse comparison and a second refining comparison is used. The first coarse comparison compares an image with an EMM to images in a database at a low resolution. The results are fed to the second refining comparison, which conducts a comparison at a higher resolution than the first coarse comparison. By utilizing this hierarchical comparison approach, it is possible to identify the image with fewer false positives.

Abstract: Methods and systems for inspecting a workpiece are provided. The method includes storing model data associated with the workpiece in an inspection system, determining a relative position of a depth sensing device relative to the workpiece, and calibrating a pose view for the inspection system relative to the model based on the position of the depth sensing device relative to the workpiece. The method further includes measuring actual depth distance data of at least one pixel of the depth sensing device relative to the workpiece and determining, based on the actual depth distance data, if the workpiece satisfies predetermined inspection criteria.

Abstract: Method for tracking entities (2) evolving in a monitored space having a metrics with at least one predetermined granularity, said method including repetition of the following operations: determining a current spatial and/or temporal state of the entities (2) within said space, according to said metrics, checking occurrence of a triggering event in connection with said state, upon occurrence of said triggering event, changing granularity of the monitored space for at least one entity (2).

Abstract: Aspects of the disclosure relate generally to determine specularity of an object. As an example an object or area of geometry may be selected. A set of images that include the area of geometry may be captured. This set of images may be filtered to remove images that do not show the area of geometry well, such as if the area is in a shadow or occluded by another object. A set of intensity values for the area are determined for each image. A set of angle values for each image is determined based on at least a direction of a camera that captured the particular image when the particular image was captured. The set of average intensities and the set of angle values are paired and fit to a curve. The specularity of the area may then be classified based on at least the fit.

Abstract: The present embodiments disclose a method of and device for identifying the direction of characters in an image block. The method includes: performing optical character recognition processing on the image block by assuming various directions as assumed character directions to obtain sub image blocks, recognized characters corresponding to the sub image blocks and correctness measures thereof in each assumed character directions; in sub image blocks in the assumed character directions with 180° mutual relation, searching for a minimum matching pair of the sub image blocks; adjusting the sub image blocks in the searched minimum matching pair to eliminate the effect, on an identification result, of different numbers of sub image blocks in various assumed character directions; calculating an accumulative correctness measure in each assumed character directions based on the adjusted sub image blocks; and identifying the direction of characters in the image block according to the accumulative correctness measures.

Abstract: Disclosed herein is a method of fast image matching that includes the steps as follows. A template image with a predetermined angular orientation is compared with template images in the range from 0 to 360 degrees to create an angle prediction table. Next, a testing image is acquired and compared with the template image with the predetermined angular orientation to record the similarity at each position, and a plurality of angles corresponding to the similarity is found from the angle prediction table. Afterwards, the template images of the plurality of angles are respectively compared with the testing image to obtain the highest similarity as a comparison result of the position.

Abstract: Methods and systems for automatically generating pose estimates from uncalibrated unordered panoramas are provided. An exemplary method of automatically generating pose estimates includes receiving a plurality of uncalibrated and unordered panoramic images that include at least one interior building image, and extracting, for each panoramic image, feature points. The method includes generating a match matrix for all the panoramic images based on the one or more feature points, constructing a minimal spanning tree based on the match matrix, identifying a first and second panoramic image, based on the minimal spanning tree, wherein the second panoramic image is associated with the first panoramic image providing a navigation from the first panoramic image to the second panoramic image.

Abstract: A digital image processing apparatus recognizes an image of a firework and performs image quality processing on the image. The digital image processing apparatus for recognizing a firework may include a digital signal processor (DSP) that recognizes a firework in a scene recognition mode based on data regarding luminance and size of flames of the firework of a live view image including at least two consecutively input frames, and that performs image quality processing on the live view image.

Abstract: The present invention relates to an image enhancement apparatus for enhancing an input image of a sequence of input images. To provide the ability to increase the resolution of an input image and/or to temporally reduce artifacts and/or noise in an input image, the apparatus comprises a motion compensation unit, a weighted selection unit, a feature analysis unit, an image model unit configured to generate a modelled image by applying an image model on said input image and/or said weighted selection image, a spatio-temporal detail signal generation unit configured to generate a detail signal from said input image and said weighted selection image, and a combination unit configured to generate said enhanced output image from said input image, said detail signal and said modelled image.

Abstract: A method of computerized searching for visual objects on an electronic document is disclosed. After receiving a selection of a template visual object, a template raster image is generated therefrom. The template visual object is comprised of one or more template object components. A document raster image is generated from the document, which includes document object symbols comprised of one or more document object components. A broad match candidate subset of document object symbols is generated based upon comparisons to the template object symbol. Then, a narrowed match candidate set is generated from those document object symbols of the broad match candidate subset based upon a comparison of the template object component to the document object components.