Abstract: A method for detecting obstacles, the method may include receiving, from a plurality of vehicles, and by an I/O module of a computerized system, visual information acquired during executions of vehicle maneuvers that are suspected as being obstacle avoidance maneuvers; determining, based at least on the visual information, at least one visual obstacle identifier for visually identifying at least one obstacle; and transmitting to one or more of the plurality of vehicles, the at least one visual obstacle identifier.

Abstract: A method, including: obtaining, by a processor, imaging data from a vessel; detecting, using the processor, an inner wall of the vessel based on the imaging data; identifying, using the processor, a plurality of visible edge portions of an outer wall of the vessel based on the imaging data; fitting, using the processor, a continuous surface model to the plurality of identified visible edge portions of the outer wall; and detecting, using the processor, the outer wall of the vessel based on fitting the continuous surface model to the plurality of identified visible edge portions of the outer wall such that the imaging data has defined therein a wall area between the inner wall and the outer wall of the vessel.

Abstract: Systems and methods described herein relate, among other things, to unmixing more than three stains, while preserving the biological constraints of the biomarkers. Unlimited numbers of markers may be unmixed from a limited-channel image, such as an RGB image, without adding any mathematical complicity to the model. Known co-localization information of different biomarkers within the same tissue section enables defining fixed upper bounds for the number of stains at one pixel. A group sparsity model may be leveraged to explicitly model the fractions of stain contributions from the co-localized biomarkers into one group to yield a least squares solution within the group. A sparse solution may be obtained among the groups to ensure that only a small number of groups with a total number of stains being less than the upper bound are activated.

Abstract: Disclosed is a method and apparatus for smoothing a motion trajectory in a video. According to this method, an original rotation matrix sequence of a video frame sequence of an input video is acquired. Then an objective function is determined according to the Riemann manifold architecture, and the smooth rotation matrix that minimizes the objective function is iteratively solved for according to the Riemannian manifold constrained smoothing algorithm, thus obtaining a smooth rotation matrix sequence after the smoothing. Then the video frame sequence is subjected to image stabilization based on the smooth rotation matrix sequence, thereby eliminating motion jitter, making the motion in the video smoother, and improving the video quality.

Abstract: Method and system for improved contrast enhancement. The method includes receiving, from at least one imaging system, first and second component chiral images, the first component chiral image being captured by a first filter that is polarized in a first direction, the second component chiral image being captured by a second filter that is polarized in a second direction, the second direction being substantially orthogonal to the first direction. The method also includes pre-enhancing, by a processor, one or both of said first component chiral image and said second component chiral image. Then the processor weights and sums at least a portion of the first and second component chiral images. Weighting and summing may be repeated until an optimal weight is reached. A contrast enhanced image may be generated after the optimal weight is reached.

Abstract: Provided in the present invention is a panoramic image acquisition device, which comprises a body, a plurality of cameras, a image extraction processor, and an image combination processor; the cameras being provided on the body at an approximate spacing between the human eyes, for acquiring partial pictures of a plurality of different shooting angles; the image extraction processor being connected to the plurality of cameras, for acquiring, on the basis of the human eyes simulating the orientations of the cameras, left-eye pictures and right-eye pictures of the partial pictures corresponding to the cameras; the image combination processor being connected to the image extraction processor, for combining the left-eye pictures of all the partial pictures into a left-eye panoramic picture and combining the right-eye pictures of all the partial pictures into a right-eye panoramic picture.

Abstract: Disclosed is a method for state decision of image data. The method for state decision of image data may include: acquiring first output data by the network function based on the image data; acquiring second output data by an algorithm having a different effect from the network function based on the image data; and deciding state information of the image data based on the first output data and the second output data.

Abstract: An image processing device image processing device (100), in which correction is less likely to be impossible or correction is less likely to be inappropriate as compared with that in the related art, performs, on an image including a face (500), correction processing to reduce/expand a first correction region (501) of a circle that is located at a position corresponding to a center of the face (500) and that has a size depending on a size of the face (500) and to expand/reduce a second correction region (502) around the first correction region.

Abstract: Provided are an image processing device and the like which implement personal privacy protection while suppressing a reduction in visibility for an image. The image processing device is provided with: a memory storing instructions; and one or more processors configured to execute the instructions to: detect a person region that is a region where a person appears in an image captured by a camera device; and perform, on the person region, privacy processing a strength of which differs according to a depth associated with coordinates of the person region or a predetermined index related to the depth.

Abstract: Systems, apparatuses, and methods are described for allowing a motion-detecting system to distinguish and/or mask motion that originates from a display screen. One method includes: capturing, by a computing device associated with a motion detector, an image of a field of view of the motion detector. The computing device may determine, based on object recognition, one or more candidate display areas within the image of the field of view. Based on the determined candidate display areas within the image, the computing device may generate a mask corresponding to the field of view. The computing device may exclude, from motion detection, motion occurring within the mask of the field of view.

Abstract: Method and system for managing multiple impressions of a patient's jaw for an orthodontic treatment are provided. The method includes scanning at least a first impression and a second impression of the same jaw for the orthodontic treatment; determining if the first jaw impression and the second jaw impression have distortion in different areas; selecting the first jaw impression or the second jaw impression as a base impression; and replacing distorted tooth data from the base impression with data for the same tooth from a non-base impression. The method also includes scanning at least a first jaw impression for the orthodontic treatment; scanning a bite impression for the orthodontic treatment; matching the scanned first jaw impression with the scanned bite impression; comparing bite information with a tooth occlusal surface; and determining if reconstruction is to be performed on the tooth occlusal surface.

Abstract: Methods, apparatuses, and devices, including computer programs encoded on computer storage media, for recognizing an unauthorized behavior are provided. One of the methods includes: obtaining, through machine vision, body movement pattern data of a user; obtaining feature data of an object; comparing the body movement pattern data with a preset body movement pattern; and determining that the user's behavior is unauthorized in response to the body movement pattern data matching the preset body movement pattern and that: a distance between the user's body and the object is within a distance threshold over a preset length of time, the attribute category of the object is a preset category, and the external surface image does not match a default external surface image of the object. The feature data may include: position data of the object based on a radio frequency identification tag on the object, attribute category data of the object, and external surface image of the object.

Abstract: The disclosure discloses a method and apparatus for inputting an emoticon. An embodiment of the method comprises: acquiring a facial image of a user, and locating a facial feature point of the facial image; determining facial expression information of the user based on a location of the facial feature point; selecting an emoticon matching the facial expression information from a preset emoticon library, wherein the emoticon library is used for correspondingly storing the emoticon and the facial expression information; and displaying the selected emoticon in an input interface. The embodiment increases the speed of inputting an emoticon.

Abstract: The present invention discloses a method operable on a digital electronic device comprising an ISP, for initiating a motion diagnostic process on digital images captured by a sensor, and an image sensor. The method operable on a digital electronic device may also be designed to comprise additional steps such as reading a digital image stored in a memory unit, wherein the ISP is configured with computerized instructions comprising instructions to identify regions in the digital image, operating a hot region detection process to detect hot regions among the identified regions, creating a hot region map representing the hot regions detected among the identified regions, and then allowing the requester access to the captured hot region map via communicating with the memory unit, wherein said access allows the requester to perform a motion detection on the digital image. In some cases, the ISP or the digital electronic device may conduct a motion detection on the detected hot regions.

Abstract: This disclosure relates to a system to trigger presentation of in-vehicle content based on detected physical objects. The system may be coupled to a vehicle. The system may include one or more physical processors. The processor(s) may be configured to obtain output signals conveying detection information that facilitates detection and identification of physical objects near and/or within an interior of the vehicle. The processor(s) may be configured to identify the physical objects near or within the interior of the vehicle. The processor(s) may be configured to obtain usage information conveying recent and/or anticipated use of the physical objects. The processor(s) may be configured to control one or more vehicle components to provide content that is specific to the identity of the physical object and/or specific to the usage information.

Abstract: An image noise intensity estimation method, an image noise intensity estimation device, and an image recognition device are disclosed. The method includes: obtaining a first image to be estimated; filtering the first image to obtain a second image; dividing the first and second images to obtain a plurality of first image sub-blocks and a plurality of second image sub-blocks respectively; calculating error values between the first image sub-blocks and the second image sub-blocks in corresponding positions; and estimating the noise intensity of the first image according to a plurality of error values obtained by calculation. The method can improve the accuracy of noise estimation.

Abstract: Techniques related to implementing an always on face detection architecture at ultra low power are discussed. Such techniques include updating a face detection model at a host processor using positive and/or negative validation of face detection results from an always on microcontroller operating at ultra low power.

Abstract: An information processing device, including an acquiring unit that acquires relationship information indicating a relationship between a plurality of first objects indicated by symbols input by a user, and a file control unit that generates display information related to display of second objects including position information indicating positions of the second objects corresponding to the first objects in a document file on the basis of the relationship information.

Abstract: An apparatus includes: a generation unit that generates plural pieces of slice data by slicing, by plural planes, a 3D model as represented by 3D data; a plane assignment unit that assigns slice images to planes so that slice images corresponding to a part of the plural pieces of slice data and slice images corresponding to another part of the plural pieces of slice data are to be formed on same set of recording media; and an output unit that generates, according to the plane assignment, image formation information that allows an image forming apparatus to form the slice images on recording media and outputs the generated image formation information to the image forming apparatus, and generates, according to the plane assignment, control data that allow a post-processing apparatus to perform post-processing for manufacture of a 3D modeled object and outputs the generated control data to the post-processing apparatus.

Abstract: A device includes a memory configured to store image data and an image coding unit. The image coding unit is configured to determine an indication of a last-non-zero (LNZ) syntax element for a block of image data and determine contexts for coding a coefficient map value for each coefficient of a plurality of coefficients of the block using the LNZ syntax element. The image coding unit is further configured to context-based code the coefficient map value for each of the plurality of coefficients in parallel using the respective contexts.