125 results about "Appearance based" patented technology

Various embodiments of the present invention provide for enhanced calendaring functionality in a collaboration suite application. A mini-calendar display in different views of the collaboration suite application provide for an easy way to view, edit and / or add appointments without needing to open of the calendar in the collaboration suite application. Email messages can be dragged onto days in the mini-calendar to create meeting proposals. Enhanced UI allows for different meetings being having different appearances based on whether they have been accepted, rejected, etc. Multiple calendars can be viewed simultaneously and their cumulative availability for any time slot can be easily seen via a calendar thermometer. Requests for sharing of calendars can be communicated via email messages, and they can be seamlessly responded to within the email message itself.

A system and method is provided that displays cursors for street level images, where the cursor changes appearance based on the objects in the image, such as the geographic distance between the objects and the camera position and the surface of the objects. For example, the cursor may appear to lie flat against the objects in the image change size based on the distance between the camera and object's surface.

A synchronous localization and mapping method for vision-inertia-laser fusion mainly relates to the technical fields of multi-sensor fusion, SLAM and the like. In order to solve a problem that single sensor SLAM has low precision and is easy to lose in localization and mapping, the invention provides a robust high precision vision, inertia, laser radar fusion SLAM system. A tightly-coupled visual inertia odometer is further optimized through laser radar scanning and matching so as to obtain a more accurate localization result. And when a camera or a laser radar degenerates, and a visual inertia module or a scanning and matching module can not work normally, a system automatically integrates remaining workable modules to maintain stable pose estimation. In order to remove cumulative errors, loopback detection based on an appearance and neighboring matching based on point cloud are added, and then six-degree-of-freedom pose optimization is performed to maintain global consistency. In the invention, robust high-precision localization and mapping effects can be obtained.

A new robust human authentication system, device, and instructions, embeddable in a physical and tangible computer readable medium, for determining if at least one test image obtained using an imaging device matches at least one training image in an enrollment database, are disclosed. This invention applies the concepts of appearance (PCA or PCA+LDA) and holistic anthropometrics that include head, face, neck, and shoulder linear and non-linear geometric measurements. The appearance (“eigen”) coefficients and holistic anthropometric measurements selected may be used as feature vectors. A boosting algorithm ranks features as “weak learners” and combines their outputs for “strong” recognition.

The invention discloses an image appearance based loop closure detecting method in monocular vision SLAM (simultaneous localization and mapping). The image appearance based loop closure detecting method includes acquiring images of the current scene by a monocular camera carried by a mobile robot during advancing, and extracting characteristics of bag of visual words of the images of the current scene; preprocessing the images by details of measuring similarities of the images according to inner products of image weight vectors and rejecting the current image highly similar to a previous history image; updating posterior probability in a loop closure hypothetical state by a Bayesian filter process to carry out loop closure detection so as to judge whether the current image is subjected to loop closure or not; and verifying loop closure detection results obtained in the previous step by an image reverse retrieval process. Further, in a process of establishing a visual dictionary, the quantity of clustering categories is regulated dynamically according to TSC (tightness and separation criterion) values which serve as an evaluation criterion for clustering results. Compared with the prior art, the loop closure detecting method has the advantages of high instantaneity and detection precision.

System and methods for non-intrusive real-time eye detection and tracking are disclosed. A subject's eyes can be detected by using active illumination analysis to generate a difference image of the subject. In the difference image, the bright pupil effect intensifies the appearance of the subject's pupils. A component analysis can be used to identify a set of pupil candidates from the difference image. An appearance-based analysis can be applied to the pupil candidates to identify the subject's eyes from background noise that can occur under various lighting conditions. After the subject's eyes are detected, a multi-stage tracking process is disclosed for detecting real-time eye movements. Further features are disclosed such as an image acquisition apparatus that reduces external illumination interferences.

The present invention is a system and method for estimating the age of people based on their facial images. It addresses the difficulty of annotating the age of a person from facial image by utilizing relative age (such as older than, or younger than) and face-based class similarity (gender, ethnicity or appearance-based cluster) of sampled pair-wise facial images. It involves a unique method for the pair-wise face training and a learning machine (or multiple learning machines) which output the relative age along with the face-based class similarity, of the pairwise facial images. At the testing stage, the given input face image is paired with some number of reference images to be fed to the trained machines. The age of the input face is determined by comparing the estimated relative ages of the pairwise facial images to the ages of reference face images. Because age comparison is more meaningful when the pair belongs to the same demographics category (such as gender and ethnicity) or when the pair has similar appearance, the estimated relative ages are weighted according to the face-based class similarity score between the reference face and the input face.

A virtual human interaction system for use on a PC or web-enabled computer facilitates the training and education of medical services practitioners by allowing them to virtually interact with a virtual patient delivered by the system and displayed on the computer screen. The system embodies a plurality of cases, and for each case, there are a number of possible outcomes, depending on the choices made by the medical services practitioner at each stage in a particular case. Together with the virtual patient displayed by the system, also incorporated into the system are a plurality of appearance descriptors which can be applied to the virtual patient by the system so as to cause a change in the appearance based on real-life human conditions which affect the physical appearance of humans generally and which are thus mimicked in the virtual patient. The resulting effect is to provide users with an almost real-time indication of their actions on patients.

An image processing system processes a sequence of images to generate a statistical model for each of a number of different persons to be tagged so as to be identifiable in subsequent images. The statistical model for a given tagged person incorporates at least one appearance feature, such as color, texture, etc., and at least one geometric feature, such as shape or position of a designated region of similar appearance within one or more images. The models are applied to subsequent images in order to perform a person detection, person location and / or person tracking operation. An action of the image processing system is controlled based on a result of the operation.

A video compression framework based on parametric object and background compression is proposed. At the encoder, an embodiment detects objects and segments frames into regions corresponding to the foreground object and the background. The object and the background are individually encoded using separate parametric coding techniques. While the object is encoded using the projection of coefficients to the orthonormal basis of the learnt subspace (used for appearance based object tracking), the background is characterized using an auto-regressive (AR) process model. An advantage of the proposed schemes is that the decoder structure allows for simultaneous reconstruction of object and background, thus making it amenable to the new multi-thread / multi-processor architectures.

The invention discloses an unmanned-aerial-vehicle visual-SLAM (Simultaneous Localization and Mapping) method based on a binocular camera, an unmanned aerial vehicle and a computer-readable storage medium. The method includes the steps of: acquiring depth images of at least two different locations through the binocular camera; obtaining camera pose information through a visual odometer according to the acquired depth images of the at least two different locations; carrying out nonlinear optimization, appearance-based circle loop detection and circle loop verification on the camera pose information to obtain optimized camera pose information; and carrying out binocular dense mapping according to the optimized camera pose information to obtain a global map. According to the method, the depthimages of the different locations are acquired through the binocular camera, and binocular dense mapping is carried out after use of the visual odometer, nonlinear optimization, circle loop detectionand circle loop verification to obtain the global map; and on the one hand, the interference problem existing with adopting of RGB-D cameras can be solved, and on the other hand, more precise localization can be realized, and the more precise map is established.

The present invention provides for a user interface of changeable images of selected goals from a plurality of goals, each image changing in appearance based upon preferences selected for each selected goal. First, a plurality of images are displayed in a frame. Each of the images represent a goal of a user. In operation, the user is permitted to select from the images in the frame. Further, a user is permitted to adjust preferences related to the goal represented by the selected image in the frame. The appearance of one or more of images in the frame is then altered based on the adjusted preferences of the goal represented by the selected image.

A computer-controlled system determines attributes of a frexel, which is an area of human skin, and applies a reflectance modifying agent (RMA) at the pixel level to automatically change the appearance of human features based on one or more digital images. The change may be based on a digital image of the same frexel, for as seen in a prior digital photograph captured previously by the computer-controlled system. The system scans the frexel and uses feature recognition software to compare the person's current features in the frexel with that person's features in the digital image. It then calculates enhancements to the make the current features appear more like the features in the digital image, and it applies the RMA to the frexel to accomplish the enhancements. Or the change may be based on a digital image of another person, through the application of RMAs.

Taking a set of unlabeled images of a collection of objects acquired under different imaging conditions, and decomposing the set into disjoint subsets corresponding to individual objects requires clustering. Appearance-based methods for clustering a set of images of 3-D objects acquired under varying illumination conditions can be based on the concept of illumination cones. A clustering problem is equivalent to finding convex polyhedral cones in the high-dimensional image space. To efficiently determine the conic structures hidden in the image data, the concept of conic affinity can be used which measures the likelihood of a pair of images belonging to the same underlying polyhedral cone. Other algorithms can be based on affinity measure based on image gradient comparisons operating directly on the image gradients by comparing the magnitudes and orientations of the image gradient.

This disclosure provides a static occlusion handling method and system for use with appearance-based video tracking algorithms where static occlusions are present. The method and system assumes that the objects to be tracked move in according to structured motion patterns within a scene, such as vehicles moving along a roadway. A primary concept is to replicate pixels associated with the tracked object from previous frames to current or future frames when the tracked object coincides with a static occlusion, where the predicted motion of the tracked object is a basis for replication of the pixels.

A method and apparatus are disclosed for classifying objects using a hierarchical object classification scheme. The hierarchical object classification scheme provides candidate classes with an increasing degree of specificity as the hierarchy is traversed from the root node to the leaf nodes. Each node in the hierarchy has an associated classifier, such as a Radial Basis Function classifier, that determines a probability that an object is a member of the class associated with the node. The nodes of the hierarchical tree are individually trained by any learning technique, such as the exemplary Radial Basis Function Network, that uses appearance-based information of the objects under consideration to classify objects. A disclosed recognition scheme uses a decision criterion based upon recognition error to classify objects.

The invention relates to a three-dimensional model simplification method based on appearance retention. The method comprises the following steps of: 1, reading model data; 2, dividing model top points into boundary points and non boundary points; 3, calculating a second order error metric matrix Q and other parameters of each top point; 4, calculating a folding value of each edge (vi, vj), and adjusting the folding value during calculation of the folding value according to boundary points, concave and convex changes and a detail image; 5, taking an edge with minimum folding value from a priority queue for simplification; and 6, judging whether a simplification requirement is met, if so, outputting a simplified model, otherwise, repeatedly executing a model simplification process from the step 2. The method retains high efficiency of second order error metric and model appearance consistency to the greatest extent, and is simple, practical, high in simplification speed and good in robustness.

The invention discloses a method for measuring an object surface appearance based on a digital picture method. The method comprises the steps of demarcating a focus distance-focus evaluation function curve and rebuilding three-dimensional appearance of the object surface, wherein the step of demarcating the focus distance-focus evaluation function curve comprises taking the areas with same size around the pixels in a same X and Y coordinate in each picture, calculating a focus evaluation function of the areas, corresponding the focus evaluation function to the focus distance of each picture in the picture order, and the step of rebuilding three-dimensional appearance of the object surface comprises taking a picture at any position in front of the object, taking one area around the pixels in the picture, calculating the focus evaluation function of the area, corresponding to the demarcated curve, and obtaining a distance value corresponding to the focus evaluation function of the area when the function is in an effective range. The distance difference between the distance and the maximum focus evaluation function corresponding to the horizontal ordinate distance is the height value of the pixels.

According to one embodiment, an electronic apparatus includes a storage device which stores face thumbnail indexing information including face images and time stamp information, extracting module configure to assign time zones to a video content data and to extract face images belonging to each time zone based on a time stamp information, classifying module configure to classify facial images of the same person from the extracted facial images, calculating module configure to calculate a frequency of appearance of each classified facial image, and facial image indication module configure to display a list of the facial images included in the facial image indexing information in a facial image indication in a two-dimensional display area, the facial image indication having time-zone-specific display areas in columns corresponding to the time zones, each facial image displayed in each time-zone-specific display area being displayed in a size based on the frequency of appearance.

An invention for the alteration of avatar appearances based on avatar population in a virtual universe is provided. In one embodiment, there is a degradation tool, including an identification component configured to count an amount of a plurality of avatars within a region of a virtual universe. The degradation tool further comprises a modification component configured to degrade the appearance of a set of avatars from the plurality of avatars in the virtual universe based on the amount of the plurality of avatars within the region of the virtual universe.

This disclosure provides a method and system for automated sequencing of vehicles in side-by-side drive-thru configurations via appearance-based classification. According to an exemplary embodiment, an automated sequencing method includes computer-implemented method of automated sequencing of vehicles in a side-by-side drive-thru, the method comprising: a) an image capturing device capturing video of a merge-point area associated with multiple lanes of traffic merging; b) detecting in the video a vehicle as it traverses the merge-point area; c) classifying the detected vehicle associated with traversing the merge-point area as coming from one of the merging lanes; and d) aggregating vehicle classifications performed in step c) to generate a merge sequence of detected vehicles.

The invention discloses a widget system appearance setting method and a device. The method comprises the following steps: obtaining the desktop property information of a current operation system when a widget engine is started or preset time is up; and searching a preset matching relationship table, obtaining widget system appearance parameters corresponding to the desktop property information, and setting the widget system appearance based on the parameters. The device comprises a desktop property information obtaining unit and an appearance setting unit. The method adjusts the widget system appearance in a self-adaptive way according to the desktop property information set by a user, and greatly improves the user experience.

A human eye is tracked between successively produced video image frames by consecutively applied eye location techniques. First, potential eye candidates within a local search window are identified using horizontal projection filtering, coupled with rudimentary appearance-based testing. The identified eye candidates are clustered and subjected to additional appearance-based testing to determine if one or more eye candidates should be accepted. If no eye candidates are accepted, a correlation / appearance technique is applied to the search window to identify the eye. If unsuccessful, the eye may be closed, and peripheral eye-related patches from the previous image frame are extracted and compared with the search window to identify the eye in the current frame. When comparable eye-related patches are identified in the search window for the current frame, the eye center is computed according to the mean of the eye periphery patches.

The invention discloses a vehicle identification method and system. The vehicle identification method comprises steps of obtaining the appearance information of a to-be-inspected vehicle, obtaining vehicle external characteristics based on the appearance information, obtaining the transmission image of the vehicle, obtaining internal characteristics of the vehicle based on the transmission image, forming the vehicle description at least based on the external characteristics and the internal characteristics, and using the description to determine the vehicle model from the model database. The scheme uses integration of various mode information, and particularly introduces the transmission image and combines the internal structure information and the appearance information to realize vehicle model identification having greater practical meaning.

A new robust human authentication system, device, and instructions, embeddable in a physical and tangible computer readable medium, for determining if at least one test image obtained using an imaging device matches at least one training image in an enrollment database, are disclosed. This invention applies the concepts of appearance (PCA or PCA+LDA) and holistic anthropometrics that include head, face, neck, and shoulder linear and non-linear geometric measurements. The appearance (“eigen”) coefficients and holistic anthropometric measurements selected may be used as feature vectors. A boosting algorithm ranks features as “weak learners” and combines their outputs for “strong” recognition.

The invention relates to generating a three-dimensional (3D) graphical representation of a building. The method comprises establishing appearance control data comprising information on parameterized architectural features of the building and on building blocks which are fragments indicative of the building, and retrieving template data from a database based on references in the appearance control data, wherein the template data relates to a prefabricated graphical representation of the building blocks. The method further comprises, for each building block, calculating a 3D graphical representation of the building block based on the respective template data and the appearance control data, and combining the 3D graphical representations of the building blocks based on the appearance control data to generate the 3D graphical representation of the building.

A human eye is detected in a video image by identifying potential eye candidates using horizontal and vertical projection filtering on a specified portion of the image, coupled with rudimentary appearance-based testing. The identified eye candidates are clustered and winning eye candidates are selected based on appearance, spatial-geometric and anthropomorphic considerations. The winning eye candidates are subjected to additional appearance-based testing, and high confidence eye candidates are accepted if they favorably compare with identified eye candidates from previous video image frames.

The invention provides an appearance three-dimensional reconstruction system based on fabric image characteristics, relates to designing of an acquiring device, initializing of a system, matching and constructing of a multi-view image and other contents, and aims at reconstructing the appearance of fabrics of various types. When in initializing of the system, the works of framing a device, acquiring the image, calibrating through a camera set and correcting the image are performed; the characteristic point detection based on constant dimension characteristic conversion is performed to acquire the original seed points; when in image matching, the BF-NCC is adopted for global image matching; the view difference information is calculated and obtained according to the matching and is converted, so as to obtain the three-dimensional space coordinate information of the fabric; the matching result of a plurality of adjacent groups is utilized for filling missing and lacking points, and therefore, full-view missing-free reconstruction can be achieved.