Abstract: A passively coupled RFID receiver is disclosed. The apparatus according to embodiments of the invention can reduce the cost of the RFID reader while significantly improving the linearity of the reader's receiver. An example system for reading RFID tags includes an active mixer passively connected to an antenna port to convert an incoming signal to a baseband signal. The baseband signal passes through a receive path, which may include other elements, and is ultimately provided to a processor that decodes the baseband signal. In some embodiments a complete RFID system making use of the passively coupled receiver includes an RFID transmitter that sends an RF carrier signal to cause the RFID tag to produce the incoming signal. In some embodiments a TX-RX coupler is connected to the transmitter, the receiver, and the antenna port, wherein the active mixer is passively connected to the antenna port through a receive port.

Abstract: The present invention provides a security module having a communication interface being capable of operating according to any from a selection from a plurality of predetermined operation modes or communication protocols. The security module further comprises a voltage detector to detect the voltage on the module's power supply connection. Depending on the value of the detected voltage or to which of a plurality of predetermined voltage ranges the detected voltage may be categorized, the security module is made to function according to one from the plurality of predetermined communication protocols. According to an embodiment of the present invention the plurality of communication protocols require that the security module operate at a plurality of different frequencies.

Abstract: Improved methods, non-transient computer readable media, and apparatus are described for automatically quantifying space within a container using a scanning sensor node disposed within the container and exposed to scan the space from above the space. For example, a general method involves detecting an initiating condition from within the container using an activation sensor on the scanning sensor node. The initiating condition reflects at least an anticipated change within the container (such as an opening of the container, movement, ceased movement, loading/unloading operation, or closing of the container). In response to the activation sensor driven detection of the initiating condition, the scanning sensor node captures a snapshot scan of the space within the container from above the space and within the container and stores the snapshot scan within a memory of the scanning sensor node.

Abstract: In one or more embodiments, a disclosed method involves transmitting a first transmit signal(s) having a first signal strength and/or a first field of view (FOV), thereby establishing a first radiation region. The method further involves receiving a first receive signal(s) radiated from an EMID tag(s). Also, the method involves transmitting a second transmit signal(s) having a second signal strength and/or a second field of view (FOV), thereby establishing a second radiation region. In addition, the method involves receiving a second receive signal(s) radiated from an EMID tag(s). Additionally, the method involves subtracting the second radiation region from the first radiation region to determine a difference region. Also, the method involves determining which of the EMID tags are located within the difference region by using the first receive signal(s) and the second receive signal(s). Further, the method involves determining a location of the EMID tag(s) located within the difference region.

Abstract: In one aspect of the present disclosure, a method is disclosed. The method involves: a reader detecting an eye-mountable device within a wireless communication range of the reader, wherein the eye-mountable device includes a transparent material having a concave mounting surface configured to be removably mounted on a corneal surface; wirelessly retrieving from the detected eye-mountable device a first set of data; using the retrieved first set of data to determine that a condition has been satisfied; and responsive to using the retrieved first set of data to determine that the condition has been satisfied, retrieving from the detected eye-mountable device a second set of data.

Abstract: An image reader can include an image sensor array. An image reader in one embodiment can include an optical system capable of directing light reflected from a target onto the image sensor array. An image reader can be used for reading a dataform.

Abstract: A host device is configured to (i) establish a point-to-point connection with a barcode reader via a point-to-point communication interface, (ii) determine that the barcode reader is in a state wherein executable instructions necessary for providing decoded data to the host device are not present within memory of the barcode reader, (iii) use the network interface to connect to a configuration server and to receive, from the configuration server, executable instructions required for the barcode reader to be capable of providing the decoded data to the host device, (iv) provide the executable instructions to the barcode reader via the point-to-point connection, and (v) receive from the barcode reader, via the point-to-point communication interface, the decoded data only after the executable instructions have been loaded to volatile memory of the barcode reader.

Abstract: A portable scanning device includes a first outer shell defining a receiving space therein, a second outer shell configured to couple with the first outer shell to cover the receiving space, a connecting band coupled to the first outer shell and configured to be secured to a body part of a user, and an electronic assembly including a number of electronic components. The number of electronic components includes a battery configured to provide power for the portable scanning device, a printed circuit board, a scanner configured to scan a plurality of codes, a speaker configured to broadcast an audio during a process of scanning the plurality of codes, a connection port configured to couple the battery to an external power source to charge the battery, a number of buttons for operating the portable scanning device, and a number of indication lights configured to indicate statuses of the portable scanning device.

Abstract: Systems, methods, and non-transitory computer-readable media can acquire a first machine-readable code. The first machine-readable code can be provided on a display element. A reader tool for reading a second machine-readable code can be provided on the display element in conjunction with the providing of the first machine-readable code on the display element. In some instances, the second machine-readable code can be read using the reader tool. The second machine-readable code can be processed to access information represented by the second machine-readable code. One or more operations can be performed based on the information represented by the second machine-readable code.

Abstract: A trigger assembly including a cylindrical pivot shaft having a pivot-shaft longitudinal axis; a trigger key having a front face, a back face opposite the front face, an actuator extending from the back face, and a trigger-key longitudinal axis, wherein the a first end on the of the trigger key has a plurality of through holes arranged to receive the cylindrical pivot shaft; a trigger-key support having an aperture for the actuator to pass through, the trigger-key support further having a plurality of pivot-shaft supports, wherein each pivot-shaft support includes a concave surface configured to receive the cylindrical pivot shaft; and a trigger bezel having a plurality of substantially flat surfaces positioned to constrain the pivot shaft in opposition to the plurality of pivot-shaft supports, wherein the substantially flat surfaces are located at different positions along the pivot-shaft longitudinal axis than are the pivot-shaft supports.

Abstract: Described herein are systems and methods configured for serving pixel mapped content to one or more merchandising communication systems. A merchandising communication system may be included at a retail environment or other location. Pixel mapped content may include barcodes, text, and other desired content.

Abstract: A device is configured to receive an image of a person. The image may include an image of a face. The device may create an emoticon based on the image of the face. The emoticon may represent an emotion of the person. The device may detect a facial expression of the person at a time that a message is being generated. The device may determine the emotion of the person based on the detected facial expression. The device may identify the emoticon as corresponding to the emotion of the person. The device may add the emoticon to the message based on the emoticon corresponding to the emotion of the person. The device may output the message including the emoticon.

Abstract: An electronic device includes a biometric sensing device connected to a processing channel that includes at least one amplifier having a gain. One or more processing devices is operatively connected to the biometric sensing device and adapted to compensate for signal fixed pattern noise in signals received from the processing channel. The signal fixed pattern noise can include signal measurement variation noise and gain variation noise. The biometric sensing device captures a new image or data, and at least one processing device compensates for the signal fixed pattern noise in the newly captured image or data.

Abstract: A fingerprint sensing device (and associated method of manufacturing) comprises a sensing chip arranged on a substrate with readout circuitry. The sensing chip comprising a plurality of sensing elements having a surface defining a sensing plane, each sensing element being configured to provide a signal indicative of an electromagnetic coupling between a sensing element and a finger placed on the sensing device; bond wires arranged between bond pads located on the sensing chip on the substrate, respectively, to electrically connect the sensing chip to the readout circuitry. A portion of the bond wire protrudes above the chip and an adhesive is arranged on the sensing chip to covering to cover the chip so that the portion of the bond wire protruding above the chip is embedded in the adhesive. A protective plate is attached to the sensing chip by the adhesive and forms an exterior surface of the device.

Abstract: An apparatus comprises a fingerprint sensor having a set of capacitive elements configured for capacitively coupling to a user fingerprint. The fingerprint sensor may be disposed under a control button or display element of an electronic device, for example one or more of a control button and a display component. A responsive element is responsive to proximity of the user fingerprint, for example one or both of a first circuit responsive to motion of the control button, and a second circuit responsive to a coupling between the fingerprint and a surface of the display element. The fingerprint sensor is disposed closer to the fingerprint than the responsive element. The control button or display component may include an anisotropic dielectric material, for example sapphire.

Abstract: An authentication apparatus includes a biometric data acquirer configured to acquire fingerprint data and an electrocardiogram (ECG) waveform of a user, and a humidity level acquirer configured to acquire a humidity level of skin of the user. The apparatus further includes a similarity extractor configured to adjust a first similarity between the fingerprint data and reference fingerprint data of a pre-registered user, and a second similarity between the ECG waveform and a reference ECG waveform of the pre-registered user, based on the humidity level, and extract a combined similarity based on the adjusted first similarity and the adjusted second similarity. The apparatus further includes an authenticator configured to authenticate whether the user is the pre-registered user based on the combined similarity.

Abstract: A method for analyzing a biologic fluid sample includes the steps of: a) providing a spatially mapped chamber; b) providing a predetermined repeatable non-uniform spatial distribution of one or more constituents within the sample, which distribution indicates the presence or absence of a statistically significant number of constituents within the sample in each chamber sub-region; c) selecting one or more image techniques for each sub-region based on the presence or absence of the statistically significant number of one or more constituents in that sub-region as indicated by the distribution; d) creating image data representative of the biologic fluid sample in each sub-region, using the one or more image techniques selected for that sub-region; and e) analyzing the sample.

Abstract: A method for defining an isolation area around an object of interest in a cell culture vessel, the method comprising the steps of: —obtaining one or more images of the cell culture vessel using one or more of a plurality of illumination sources, each illumination source being capable of illuminating the vessel from a different direction; —selecting an image or combination of images for further processing; —applying a circular object detection transformation to identify one or more objects of interest being substantially circular objects in the cell culture vessel, which circular objects of interest are representative of isolated colonies in the cell culture vessel and determining the center of an object of interest; —applying a binarizing step to obtain a binarized image of the object of interest and other objects, wherein the center of the binarized image corresponds to the center of the object of interest; —iteratively forming concentric circles with increasing radius, wherein the concentric circles are cen

Abstract: A method is provided for recording a user's handwritten signature through a device including a touch-sensitive surface. The method includes a phase of obtaining a handwritten signature, which includes at least one step of acquiring the handwritten signature on the touch-sensitive surface of the device, delivering an acquired signature and at least one step of recording the acquired signature within a signature-recording space. During the phase of obtaining the handwritten signature, the method includes at least one step of measuring at least one piece of complementary data through the device and at least one step of recording the at least one piece of complementary data.

Abstract: Apparatuses and methods for fast visual simultaneous localization and mapping are described. In one embodiment, a three-dimensional (3D) target is initialized immediately from a first reference image and prior to processing a subsequent image. In one embodiment, one or more subsequent reference images are processed, and the 3D target is tracked in six degrees of freedom. In one embodiment, the 3D target is refined based on the processed the one or more subsequent images.

Abstract: A method of defining a region of interest in a floor plan document including identifying a point within the region of interest, identifying notations in the floor plan document potentially indicative of walls near the identified point, and identifying notations in the floor plan document potentially indicative of protrusions from the walls near the identified point. The method also includes determining whether the notations potentially indicative of protrusions from the walls are part of the perimeter of the region of interest based on at least one criteria selected from a group consisting of size, shape, and location of the notation potentially indicative of a protrusion, defining the perimeter of the region of interest based on the notations determined to be part of the perimeter of the region of interest, and calculating a quantity associated with the region of interest based on the defined perimeter of the region of interest.

Abstract: A method of autonomous driving includes generating, with a 3D sensor, 3D points representing objects in the environment surrounding a vehicle. The method further includes, with a computing device, identifying, from the 3D points, a temporal series of clusters of 3D points representing the same object in the environment surrounding the vehicle as a track, identifying cluster-based classifiers for the object based on identified local features for the clusters in the track, identifying track-based classifiers for the object based on identified global features for the track, combining the cluster-based classifiers and the track-based classifiers to classify the object, with the cluster-based classifiers being weighted based on an amount of information on the clusters from which they are identified, and with the weight increasing with increasing amounts of information, and driving the vehicle along a route based on the object's classification.

Abstract: An image processing apparatus includes an imaging unit, an authenticating unit, and a controller. The imaging unit acquires a face image of a user. The authenticating unit performs a first authentication process based on the face image and a second authentication process based on information other than the face image. The controller suspends the first authentication process based on the face image while maintaining the imaging unit in an activated state when the authenticating unit performs the second authentication process.

Abstract: A photo sharing system with a face recognition function includes a photo browser and a photo sharing platform. The photo browser allows a user to browse plural photos, and includes a user interface that shows the plural photos; a photo classification module that is activated to automatically classify the plural photos into groups according to face images contained in the plural photos and identified by the face recognition function while showing the groups of photos on the user interface for selection; and a photo transmission module that is activated to automatically pack and transmit a selected one of the groups of photos to a photo sharing platform in the cloud. The photo sharing platform includes a photo file management module that manages at least a photo folder that stores the selected group of photos.

Abstract: Comprehensive 2D learning images are collected for learning subjects. Standardized 2D gallery images of many gallery subjects are collected, one per gallery subject. A 2D query image of a query subject is collected, of arbitrary viewing aspect, illumination, etc. 3D learning models, 3D gallery models, and a 3D query model are determined from the learning, gallery, and query images. A transform is determined for the selected learning model and each gallery model that yields or approximates the query image. The transform is at least partly 3D, such as 3D illumination transfer or 3D orientation alignment. The transform is applied to each gallery model so that the transformed gallery models more closely resemble the query model. 2D transformed gallery images are produced from the transformed gallery models, and are compared against the 2D query image to identify whether the query subject is also any of the gallery subjects.

Abstract: Provided is a vehicle control apparatus including an image obtaining part that obtains an image of outside of a vehicle; a face recognizing part that finds and tracks a face of a person from an image obtained by the image obtaining part based on feature elements human faces and extracts feature information regarding a face of a person; a face authenticating part that compares the feature information extracted by the face recognizing part to feature information regarding faces of persons registered in advance and, if a difference therebetween is less than or equal to a critical value, authenticates that the recognized face as a registered face; the motion recognizing part that, when authentication is completed by the face authenticating part, recognizes a motion; and a control part that recognizes a motion of a face-recognized and face-authenticated person and performs a set function.

Abstract: Methods and systems for videoconferencing include recognition of emotions related to one videoconference participant such as a customer. This ultimately enables another videoconference participant, such as a service provider or supervisor, to handle angry, annoyed, or distressed customers. One example method includes the steps of receiving a video that includes a sequence of images, detecting at least one object of interest (e.g., a face), locating feature reference points of the at least one object of interest, aligning a virtual face mesh to the at least one object of interest based on the feature reference points, finding over the sequence of images at least one deformation of the virtual face mesh that reflect face mimics, determining that the at least one deformation refers to a facial emotion selected from a plurality of reference facial emotions, and generating a communication bearing data associated with the facial emotion.

Abstract: A candidate region extraction unit (110) extracts candidate regions from an image by using a common characteristic amount. A part region extraction unit (120) separates a part region, which has a high likelihood of being a part, from a second-part candidate region other than the part region. A characteristic amount calculation unit (130) calculates the intrinsic characteristic amount of each of the part region and the second-part candidate region. A characteristic amount correction unit (140) corrects the intrinsic characteristic amount of either one of the candidate regions on the basis of the length, the width, and the angle of the other candidate region. A determination unit (150) determines whether or not the part region and the second-part candidate region are parts that constitute a pair on the basis of the similarity between the corrected intrinsic characteristic amount and the intrinsic characteristic amount of the other candidate region.

Abstract: A method for notifying a motion includes decoding watermark information superimposed on sound or video, outputting timing information obtained as a decoding result, analyzing a motion of a user with reference to a table, determining whether or not a predetermined timing comes based on the timing information, performing determination regarding the motion of the user based on an analysis result if it is determined that the predetermined timing comes, and performing notification based on a result of the determination.

Abstract: A gesture recognition method and an gesture recognition apparatus using the same method are proposed. The method includes the following steps: transmitting an infrared signal, and detecting whether an object appears in a predetermined range based on a first infrared signal retrieved from the infrared signal being reflected; when the object appears in the predetermined range, capturing a plurality of images including the object and a plurality of second infrared signals retrieved from the infrared signal being reflected; and recognizing the images to retrieve a horizontal movement direction of a gesture of the object within the predetermined range, and recognizing the second infrared signals to retrieve a depth movement direction of the gesture within the predetermined range.

Abstract: Systems and Methods for identity information verification. The system includes an electronic device and a computing authentication unit. The electronic device includes a data capture unit for electronically scanning first data and second data corresponding to respective first and second locations of an identity document indicative of an individual. The computing authentication unit is configured to: perform a first verification to verify whether the first data matches the second data; perform a second verification, when the first data matches the second data, including comparing aggregated data from both the first and second data to identity data in one or more identity databases to verify personal identity information of the individual indicated in the identity document; and cause the electronic device to indicate a result of at least one of the first verification or the second verification.

Abstract: The present disclosure relates to an image searching system and method for searching by using images of objects. Images of objects which it is desired to search are input via a PC-based terminal equipped with a webcam or a smart phone and then the input object images are analyzed using image recognition technology based on feature point extraction such that types of code contained in the object images are categorized and a decoder matching the object type is automatically driven such that the object is read, and thus a search function is provided which allows integrated recognition of all objects regardless of the type of object and which is convenient for the user.

Abstract: A system to recognize text or symbols contained in a captured image using machine learning models leverages context information about the image to improve accuracy. Contextual information is determined for the entire image, or spatial regions of the images, and is provided to a machine learning model when a determination is made as to whether a region does or does not contain text or symbols. Associating features related to the larger context with features extracted from regions potentially containing text or symbolic content provides an incremental improvement of results obtained using machine learning techniques.

Abstract: Methods and apparatus to identify media content using temporal signal characteristics are disclosed. An example method includes generating a reference signature based on a reference signal corresponding to known media, generating sums based on peaks in a media signal corresponding to media, identifying signal peaks based on the generated sums, generating a second signature based on normalized curve features, wherein the normalized curve features respectively correspond to the identified signal peaks at a corresponding temporal locations of the corresponding signal peak, and determining whether the media signal corresponds to the reference signal based on a comparison of the reference signature and the second signature.

Abstract: In one aspect, a method and apparatus for detecting subject matter of interest in view data obtained by scanning an object including generating a filter adapted to respond to the subject matter of interest, splatting the filter onto a portion of the view data to provide a filter splat, and performing at least one operation on the portion of the view data using the filter splat to facilitate determining whether the subject matter of interest is present in the portion of the view data.

Abstract: A method for calculating the number and moving direction of pedestrians is provided. in which feature points of a current frame image are extracted; the feature points of the current frame image are compared with those of a selected historical frame image, to obtain moving feature points of the current frame image; directional weighted counting is performed on the moving feature points of the current frame image to obtain the moving direction of the pedestrians; and edge points of pedestrian images are extracted from a foreground image of the current frame image, and performing joint weighted counting on the edge points of the pedestrian images and the moving feature points of the current frame image according to correction coefficients of locations of the respective points, to obtain the number of the pedestrians. A device for calculating the number and moving direction of pedestrians is also provided.

Abstract: A computer-readable map format and methods of constructing the map format are disclosed. The map format includes location information for a plurality of background objects. At least one of the background objects is a seasonal background object and the location information associated with the seasonal background object is identified during a season in which an obscuration level associated with the seasonal background object is at a minimum. The obscuration level can be based on the amount that the seasonal background object is obscured or based on the amount of obscuration caused by the seasonal background object.

Abstract: The present disclosure relates to a method and apparatus for classifying pixels in an input image and image processing system. The apparatus includes a first confidence determination unit configured for determining a first confidence of each of the pixels in the input image belonging to each of a plurality of predetermined classes; a detection unit configured for acquiring, by using a detector for detecting a particular class among the plurality of predetermined classes, detection results used to indicate pixels which belong to the particular class; an updating unit configured for updating the first confidences according to the detection results; and a class determination unit configured for determining the class to which each of the pixels in the input image belongs among the plurality of predetermined classes, according to the updated first confidences.

Abstract: Disclosed are systems and methods for identifying a scene-change/non-scene-change transition between frames. One embodiment takes the form of a method including receiving a first frame of video; defining a first region of the first frame, wherein the first region is associated with a first plurality of pixels of the first frame; receiving a second frame of video; defining a second region of the second frame, wherein the second region is associated with a second plurality of pixels of the second frame; using (i) a first plurality of luma values associated with the first plurality of pixels and (ii) a second plurality of luma values associated with the second plurality of pixels, as a basis to identify the pair of the first and second frames as having a particular scene-change/non-scene-change attribute; and storing in a memory an indication that the pair of the first and second frames has the identified attribute.

Abstract: Systems, devices, and methods for material recognition extract one or more features from a patch in an image of a scene; generate an initial prediction of a material category of the patch from candidate material categories based on the one or more features; identify a scene in the image; identify one or more objects in the image; obtain a first relationship model of two or more of the one or more features, the candidate material categories, the one or more objects, and the scene; and make a refined prediction of the material category of the patch based on the initial prediction of the material category and on the first relationship model.

Abstract: A system or method for automatic calculation of scene geometry may include receiving, by a processor, a video stream including a plurality of video frames. A video frame may be divided into blocks, and a vertical vanishing point of the video stream may be determined based on a dominant orientation of detected edges in the blocks. A horizon and scale of the video stream may be estimated based on optical flow of pixels between two consecutive video frames. A set of human heads may be detected in a video frame of the video stream based on the estimated horizon and scale of the video stream.

Abstract: A method and system for determining a location of an occupant in a space include detecting a shape of an occupant in an image of a space; determining a location of the occupant on a floor of the space in the image, based on the shape of the occupant; and transforming the location on the floor in the image to a location of the occupant on the floor in the space.

Abstract: A method of localizing a vehicle hosting a sensor comprises capturing data from the sensor providing a sensed scene around the vehicle at a current time, processing the sensed scene to extract a set of features from the sensed scene and determine a position of the vehicle from the sensed scene in relation to a previous position of the sensor, comparing the extracted set of features to one or more stored experiences, wherein each stored experience comprises a plurality of sets of features, where each set of features has been determined from a previously sensed scene, to ascertain whether the sensed scene can be recognized within any of the stored experiences, and if the extracted set of features of the sensed scene are recognized then that stored experience is used to produce an estimate of the position of the vehicle at the current time with respect to the stored experience.

Abstract: The method consists in taking, when the vehicle is running, images of the road markings delimiting the circulation lanes of the road, and in fully estimating, through an iterative process, the orientation of the camera with respect to the vehicle, based on the position of two lanes located side-by-side on the image. The calibration essentially comprises: correcting the position of the lane edges in the image (10, 12); estimating the residual pitch and yaw (16); updating the rotation matrix (18); estimating the residual roll (20); updating the rotation matrix (24). These steps are iterated until the corrective angles estimated by each module are negligible (22).

Abstract: A display system for a vehicle comprises a display mounted within a passenger compartment of a vehicle and at least one camera mounted to the vehicle and facing at least partially in a rear direction. The display shows the images recorded by the camera(s) to provide a rear view for the driver of the vehicle. An ECU is controllably connected to the display screen and the at least one camera to analyze an image from the at least one camera to detect when an object in the image is an emergency vehicle; and to activate an alert on the display when an emergency vehicle is detected.

Abstract: A system, method, and device may include software and hardware which simplify and quicken configuration of the system for testing a device, enhance testing procedures which may be performed, and provide data via which to easily discern a cause and nature of an error which may result during testing. A camera may capture still images of a display screen of a tested device and another camera may capture video images of the tested device and a partner device. A wizard may be used to generate a configuration file based on one previously generated for a similar device. A mount for a tested device may be structured so that: it is suitable for mounting thereon a plurality of differently structured devices; and adjustments in a vertical direction and a horizontal direction in a plane and adjustments of an angle of the device relative to the plane may be easily made.

Abstract: A system to select video frames for optical character recognition (OCR) based on feature metrics associated with blur and sharpness. A device captures a video frame including text characters. An edge detection filter is applied to the frame to determine gradient features in perpendicular directions. An “edge map” is created from the gradient features, and points along edges in the edge map are identified. Edge transition widths are determined at each of the edge points based in local intensity minimum and maximum on opposite sides of the respective edge point in the frame. Sharper edges have smaller edge transition widths than blurry images. Statistics are determined from the edge transition widths, and the statistics are processed by a trained classifier to determine if the frame is or is not sufficiently sharp for text processing.

Abstract: The recognition rate is improved and recognition errors are suppressed when recognizing magnetic ink characters. When the magnetic ink character 101 one character before the target character to which a magnetic recognition process is applied is not recognized, the character recognition unit 80 of a check reader 1 detects a different peak in a specific range before and after the position of the peak detected as the first peak of the one preceding magnetic ink character 101 in the signal waveform data, extracts character waveform data for the one preceding magnetic ink character 101 from the signal waveform data based on the position of the detected different peak, and applies the magnetic recognition process to the extracted character waveform data.

Abstract: A method, system, and machine-readable medium for classifying an image element as one of a plurality of categories, including assigning the image element based on a ratio between an unoccluded perimeter of the image element and an occluded perimeter of the image element and coding the image element according to a coding scheme associated with the category to which the image element is classified. Exemplary applications include image compression, where categories include image foreground and background layers.

Abstract: The invention provides a method for instantly recognizing and positioning an object, comprising steps of: a) wirelessly searching a wireless identification of the object; b) capturing a plurality of images of the object for each image capture; c) determining a 2D center coordinate (x, y) of the object based on a center coordinate (xw, yw) of the wireless identification of the object; d) transforming the captured images of the object to acquire a 3D pattern of the object, and comparing the 3D pattern of the object with 3D patterns pre-stored; and e) if the 3D pattern of the object matches with a pre-stored 3D pattern, calculating and obtaining a 3D center coordinate (x, y, z) of the object to recognize and position the object. The invention also provides a system and a processor enabling the method, and use of the system.