51 results about "Visual placement" patented technology

A display window is displayed in association with at least one scroll bar at a terminal associated with a first user. Along the shaft of one ore more scroll bars, a distinctive visual location cue, such as a line in a color associated with a second user, is displayed to indicate the relative location within the shared data collection of the current and historical activity of a second user. A user may temporarily prohibit manipulation of a region within the shared data collection by other users by establishing a "lock" on the region. A lock region may comprise several lines of text, a portion of a graphical object, or other data within the shared data collection. To indicate the location of lock regions, lock region location cues are also displayed along the scroll bar. In addition to indicating the location of lock regions, lock region location cues also indicate which user has established a lock region via a distinctive display attribute, preferably a distinctive color associated with the user who established the lock region. The location of a lock region is also indicated within the display area of a window by displaying the lock region with the same distinctive display attribute as the lock region location cue. In addition, when a cursor associated with a user prohibited from manipulating a lock region is located within the lock region, an aspect of the cursor, such as its shape, is altered. A preferred embodiment displays a representation of a key rather than a standard cursor to indicate to a user that his cursor is within a lock region.

A method, system, and computer program product for addressing a general class of configuration problems requiring visual placement. Such configuration problems are solved as a single group using a visual user interface which guides the users' behavior. The present invention may be implemented over the Internet for rapid and efficient distribution without any additional software on the client side other than a web browser. The inference engine may be on a remote server. The client side device may include a visual user interface as well as a small amount of user side intelligence. In one embodiment, a visual interface on the client device helps the user create a product comprised of selectable components, where each component is placed where the user wants it. Since the client device contains some amount of user intelligence, the client device does not need to send an entire web page to the inference engine, and receive an entire new web page from the inference engine, every time a user selects a component. Instead, once a user makes a selection, the client device can merely send over to the inference engine, the component selected, and the desired placement of the component. The inference engine, in turn, can merely send over information regarding which slots are constrained and how. The client device may include a web-browser, via which it can communicate with the inference engine over the Internet.

A method of vision correction in a virtual reality environment, comprising: judging if a user is for the first time entering the virtual reality environment, if yes, providing the user with an initial visual position; monitoring in real time action of the user, and judging if the user is in a stable state in the virtual reality environment; if the user is in a stable state, adjusting the visual position of the user according to change of sight lines of the user; and if the user is in an unstable state, renewedly providing the user with an initial visual position; and monitoring in real time change of a scene in the virtual reality environment, and if the scene is taking discontinuous switching, renewedly providing the user with an initial visual position according to a new scene. The present disclosure performs automatic vision correction according to the usage scenes and the cognition custom of the user, which reduces user operation and improves the user experience.

A digital communications or content platform is provided in some embodiments that is configured to provide a useful tool for generating visualizations or other user content that is operable to create a layer or skin that acts as a pane of glass over original web content. The digital communications or content platform is configured to maintain, in a data structure, a set of data linkages representative of a set of visual components whose visual locations and website locations are dynamically maintained despite changes to the underlying webpage. The digital communications or content platform is configured to cause a display to render a hybrid webpage including both the underlying webpage and the overlay.

The invention discloses a high-precision image navigation positioning method based on a local neighborhood map, and belongs to the field of visual navigation. The method specifically comprises two stages of an offline map surveying and mapping stage and a navigation positioning stage, and specifically comprises the following steps of: acquiring original data; establishing a visual position map 1 and a geographic position map 2; constructing a visual/geographic coordinate mapping table; calculating the position of a current frame image under a visual coordinate system; extracting a neighborhoodcoordinate mapping table; and calculating similar transformation model parameters, and obtaining carrier position information through the parameters. The decimeter-level dynamic positioning precisioncan be achieved. A navigation map is established offline, and the map is used for carrying out online real-time navigation positioning of a carrier, so that vehicle-mounted autonomous navigation positioning is carried out only depending on images, and the decimeter-level dynamic positioning precision is achieved.

The invention discloses a binocular vision position measurement system and method based on deep learning, and belongs to the technical field of multi-vision position measurement. The system disclosed by the invention comprises a binocular vision image capture module, a deep learning object recognition module, an image segmentation module, a fitting module and a binocular point cloud module. The invention further discloses a binocular vision position measurement method based on deep learning, image features are extracted and fused based on the convolutional neural network, a feature extraction network is trimmed according to an image recognition task, a network structure is lightened, the extracted image features are regressed and decoded by using a full-connection layer network, an image segmentation and fitting algorithm is made, deep learning is applied to binocular vision position measurement, the measurement applicability and accuracy can be considered, the positions of multiple types of objects in an actual scene can be rapidly and accurately measured, and the system and method has the advantages of non-contact measurement, accurate position solving and high real-time performance.

The invention discloses a model training method and a domain self-adaptive visual position identification method and device, and belongs to the technical field of computer vision, and the method comprises the steps: building an image feature extraction model based on a deep neural network; constructing a training set according to the standard data set, wherein each training sample in the trainingset comprises a target image, a positive sample and s negative samples; using the training set to train the image feature extraction model; wherein in the image feature extraction model, the feature extraction network comprises a plurality of first networks which are cascaded; wherein the first network is formed by sequentially connecting one or more second networks and a maximum pooling layer, and the maximum pooling layer is used for feature selection; the second network comprises convolution layers which are connected in sequence and used for feature extraction; the batch standardization layer is used for carrying out zero-mean standardization processing; the activation function layer is used for carrying out activation processing; the local feature aggregation network is used for aggregating local features to obtain feature vectors of the image. According to the invention, the robustness of visual position identification can be improved.

The invention discloses an accurate repeat positioning method for an indoor autonomous navigation robot in the field of intelligent robots. The method comprises the following steps of (1) allow a robot to sequentially pass through a plurality of preset target positions on a straight line, (2) acquiring current coordinates of the robot when the robot reaches one of the target positions, (3) calculating corrected coordinates of the current target position, (4) calculating the current visual position of the robot by adopting a visual compensation positioning algorithm after the robot reaches thecorrected coordinates of the target position, and (5) calculating an evaluation coefficient of the current target position according to the current coordinates, the corrected coordinates of the current target position and the current visual position of the robot, wherein the evaluation coefficient of the current target position is used for calculating the corrected coordinates of the robot to thenext target position. The robot moves in a long straight corridor scene, a positioning error is corrected in real time, and the accurate positioning of the robot is realized.

The invention provides a semantic vision positioning method and device based on a multi-modal graph convolutional network. The method comprises the steps: obtaining an input picture and corpus description; extracting multi-scale visual features of an input picture by using a convolutional neural network, and encoding and embedding spatial coordinate information to obtain spatial perception visualfeatures; analyzing the corpus description to construct a semantic structure diagram, encoding each node word vector in the semantic structure diagram, and learning diagram node semantic features through a multilayer perceptron; fusing the spatial perception visual features and the graph node semantic features to obtain multi-modal features of each node in the semantic structure graph; spreading relationship information of nodes in the semantic structure chart through a graph convolution network, and learning visual semantic relationships under the guidance of semantic relationships; and performing semantic visual position reasoning to obtain a visual position of the semantic information. According to the method, context semantic information is combined when ambiguous semantic elements areprocessed, and visual positioning can be guided by utilizing semantic relation information.

The invention discloses a manipulator fixture and a robot. The manipulator fixture comprises a clamping claw installation mechanism, a clamping claw, a visual position compensation system and a control unit. The clamping claw installation mechanism and the visual position compensation system are installed on a manipulator. The clamping claw is installed on the clamping claw installation mechanism.The visual position compensation system and the manipulator are connected with the control unit respectively. The visual position compensation system is used to shoot an image of an object to be clamped and transmits the image to the control unit while the manipulator enables the clamping claw to clamp the object. The control unit is used to position the clamping claw relative to the object to beclamped according to the images shot by the visual position compensation system, and controls the manipulator to compensate for the moving position of the clamping claw according to the situation ofpositioning.

The embodiment of the invention discloses a video data processing method and device. The method comprises the following steps that a first terminal device plays the augmented reality video data; the first terminal device obtains attitude information collected by a second terminal device; wherein the attitude information comprises current angle information and current displacement information; andthe first terminal device determines a video adjustment parameter corresponding to the augmented reality video data according to the current angle information and the current displacement information,and updates a visual angle and a visual position of the augmented reality video data according to the video adjustment parameter. According to the invention, the display effect of the augmented reality video can be improved.

The invention discloses a visual position recognition method, a visual position recognition device, computer equipment and a nonvolatile computer readable storage medium. The visual position identification method comprises the following steps: constructing an auto-encoder model, wherein the auto-encoder model comprises an encoder model and a decoder model which are connected in sequence; inputtingthe training image into a pre-trained VGG-16 model to output first information of the training image; inputting the training image into the auto-encoder model to output second information of the training image; calculating a difference value between the first information and the second information; when the difference value is smaller than a preset value, determining that training of the auto-encoder model is completed; when the difference value is greater than a preset value, modifying parameters of the auto-encoder model, and returning to the step of inputting the training image into the auto-encoder model to output second information of the training image; and carrying out visual position identification by utilizing an encoder model in the trained auto-encoder model.

The invention relates to the field of vehicle-mounted display screen products and particularly relates to a five-axis angle and direction adjusting rotating mechanism. A display screen assembly is included. One side of the display screen assembly is connected with a turnover mechanism assembly through a bolt; a panel assembly is mounted on one side of the turnover mechanism assembly through the bolt; a host assembly is installed on one side of the panel assembly through the bolt; the display screen assembly comprises a first linear sliding mechanism, a first axial rotating mechanism, a secondaxial rotating mechanism and a third axial rotating mechanism; and the first linear sliding mechanism comprises two screen pressing strips installed on one side of the display screen assembly throughthe bolts. The mechanism has beneficial effects that an up-down position, a front-back position, left-right and up-down rotating angles and a 90-degree transverse and vertical screen switching angle of a display screen can be moved; the display screen is adjusted to an optimal visual position; and interference objects or obstacles between an original vehicle and the display screen are avoided, andthe mechanism is suitable for different vehicle types and observation visual angles and use habits of passengers or drivers with different seats in the vehicle.

Disclosed is a technique for presenting audible items to a user in a manner that allows the user to easily distinguish them and to select from among them. A number of audible items are rendered simultaneously to the user. To prevent the sounds from blending together into a sonic mishmash, some of the items are “conditioned” while they are being rendered. For example, one audible item might be rendered more quietly than another, or one item can be moved up in register compared with another. Some embodiments combine audible conditioning with visual avatars portrayed on, for example, a display screen of a user device. During the rendering, each audible item is paired with an avatar, the pairing based on some suitable criterion, such as a type of conditioning applied to the audible item. Audible spatial placement is mimicked by visual placement of the avatars on the user's display screen.

The invention discloses an autonomous unmanned system position identification and positioning method based on sequence image features. Firstly, to-be-image features are extracted through an improved convolutional neural network model, the obtained depth features have high illumination invariance and viewing angle invariance, and the robustness of the algorithm for scene condition changes and robotviewing angle changes is enhanced; then, a difference measurement method based on an image sequence is adopted, constraints are effectively provided for position recognition of adjacent frames, and the recognition accuracy is improved. Secondly, an approximate nearest neighbor search method is used, so that the calculated amount of sequence search is greatly reduced, and the use efficiency in a large-scale environment is improved. Finally, through a method of dynamically updating candidate matching, omission caused in sequence search is effectively reduced, and the error-tolerant rate of thealgorithm is improved. A visual position recognition algorithm has the outstanding advantages of being high in robustness, high in efficiency, capable of adapting to various scenes and the like.

The embodiment of the invention relates to the technical field of data processing, and provides an obstacle detection method and device, electronic equipment and a storage medium. The obstacle detection method comprises the following steps: determining an area image acquired by each camera in the vehicle-mounted look-around camera system and look-around point cloud data acquired by a vehicle-mounted laser radar; projecting the point cloud data of each radar obstacle in the look-around point cloud data into a corresponding camera coordinate system to obtain a visual position of each radar obstacle, wherein the camera coordinate system corresponding to the radar obstacle is the camera coordinate system of the camera of which the shooting area coincides with the space area where the radar obstacle is located; and determining a look-around obstacle detection result based on the visual position of each radar obstacle, and the visual position and the obstacle type of the visual obstacle in each area image. According to the obstacle detection method and device, the electronic equipment and the storage medium provided by the embodiment of the invention, 360-degree omnibearing obstacle detection is ensured.

The invention relates to the technical field of port operation, and provides a visual positioning method and system for an unmanned container truck, electronic equipment and a storage medium. The visual positioning method comprises the following steps: collecting visual features including actual positions of a lane line and a bay mark in a map coordinate system; In the driving process of the unmanned container truck, the pose deviation of the unmanned container truck is obtained according to the visual position and the actual position of the visual feature in an image coordinate system of a first camera of the unmanned container truck, and positioning correction is conducted on the unmanned container truck, comprising: according to the visual position of the lane line and the actual position of the lane line, the transverse pose deviation of the unmanned container truck is obtained, and transverse positioning correction is conducted on the unmanned container truck; and according to the visual position and the actual position of the storage position identifier, obtaining the longitudinal pose deviation of the unmanned container truck, and carrying out longitudinal positioning correction on the unmanned container truck. According to the method, transverse and longitudinal positioning correction is performed on the unmanned container truck in combination with a visual map and a visual means, so that rapid and accurate positioning of the unmanned container truck is realized.

A head mounted display system and a scene scanning method thereof are provided. In the method, one or more first scene images and a second scene image in a real environment are obtained. A preliminary virtual environment corresponding to the real environment from the first scene images is generated. The preliminary virtual environment is displayed with a perspective at a visual position. The virtual position is corresponding to a real position in the real environment where the second scene image is captured. The perspective to present the virtual environment is modified in response to a change of a pose of the user's head. Accordingly, a convenient way to scan the real environment is provided, and a complete virtual environment may be obtained.

A head mounted display system and a scene scanning method thereof are provided. In the method, one or more first scene images and a second scene image in a real environment are obtained. A preliminary virtual environment corresponding to the real environment from the first scene images is generated. The preliminary virtual environment is displayed with a perspective at a visual position. The virtual position is corresponding to a real position in the real environment where the second scene image is captured. The perspective to present the virtual environment is modified in response to a change of a pose of the user's head. Accordingly, a convenient way to scan the real environment is provided, and a complete virtual environment may be obtained.

The invention is suitable for the technical field of detection, and provides a target tracking method, a target tracking device and terminal equipment, and the method comprises the steps: obtaining target visual position information in visual images corresponding to two adjacent tracking moments, and calculating a visual association matrix between the target visual position information; obtainingtarget point cloud position information in the radar point cloud images corresponding to the two adjacent tracking moments, and calculating a point cloud incidence matrix between the target point cloud position information; calculating a target incidence matrix between the two adjacent tracking moments according to the visual incidence matrix and the point cloud incidence matrix; and performing target association processing on the two adjacent tracking moments according to the target association matrix, and determining a target trajectory between the two adjacent tracking moments according toa result of the target association processing. By means of the method, the situation that the target track obtained through target tracking is broken can be effectively avoided.