Abstract: A display method, an electronic device, and a storage medium are provided. The method includes: detecting state information of a first object; if the state information indicates that the first object appears or disappears, determining whether a trigger condition is satisfied according to the state information; and if the trigger condition is satisfied, transforming display of a second object according to a trigger event corresponding to the trigger condition, where the second object is independent of the first object.

Abstract: A method for bonding two elements, the method including receiving first and second elements, the first element being a composite material; applying a laser-based treatment to a surface of the first element to obtain a treated surface; patterning the treated surface to have plural trenches; applying an adhesive to one of the first and second elements; and joining the first element to the second element so that the adhesive is between the first and second elements.

Abstract: A method of tracking a position of a target object in a video sequence includes identifying the target object in a reference frame. A generic mapping is applied to the target object being tracked. The generic mapping is generated by learning possible appearance variations of a generic object. The method also includes tracking the position of the target object in subsequent frames of the video sequence by determining whether an output of the generic mapping of the target object matches an output of the generic mapping of a candidate object.

Abstract: A linear actuator is configured to be connected between a platform and a structure or ground for displacement of the platform relative to the structure or the ground. The actuator comprises a base, and an output displaceable linearly relative to the base. A first plurality of idlers are on the base, and a second plurality of idlers are on the output. An actuator unit has a reciprocating rotational output. A tensioning member has a first end connected to the rotational output of the actuator unit, and a second end connected to an anchor point on one of the output and the base, the tensioning member being routed from the rotational output, through the first plurality of idlers and the second plurality of idlers and to the anchor point for converting a winding/unwinding of the tensioning member into a translation of the output.

Abstract: In one general aspect, a method can include triggering display of a virtual environment in a head mounted display (HMD) device operating in a physical environment, triggering display of a first virtual object representing a second virtual object, the first virtual object having a size smaller than a size of the second virtual object, receiving an indication of an interaction of a user with the first virtual object, the user having a first size larger than the size of the first virtual object, and triggering an interaction with the second virtual object in response to an interaction with the first virtual object, the user having a second size larger than the first size when interacting with the second virtual object.

Abstract: A method of tracking a position of a target object in a video sequence includes identifying the target object in a reference frame. A generic mapping is applied to the target object being tracked. The generic mapping is generated by learning possible appearance variations of a generic object. The method also includes tracking the position of the target object in subsequent frames of the video sequence by determining whether an output of the generic mapping of the target object matches an output of the generic mapping of a candidate object.

Abstract: A physical parameter estimating method, a physical parameter estimating device, and electronic apparatus are disclosed.

Abstract: An apparatus may be configured to obtain, for a Siamese neural network having a recurrent neural network (RNN), an initial representation associated with a target object at a first time step and a set of candidate regions at a current time step. The apparatus may determine an updated representation associated with the target object based on the initial representation at the first time step and observed information associated with the target object at a set of previous time steps, and the observed information associated with the target object may be represented by a hidden state of the RNN. The apparatus may output the updated representation associated with the target object for matching with the set of candidate regions at the current time step by the Siamese neural network. The apparatus may determine the updated representation further based on a hidden state at a previous time step.

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

Abstract: A method of tracking a position of a target object in a video sequence includes identifying the target object in a reference frame. A generic mapping is applied to the target object being tracked. The generic mapping is generated by learning possible appearance variations of a generic object. The method also includes tracking the position of the target object in subsequent frames of the video sequence by determining whether an output of the generic mapping of the target object matches an output of the generic mapping of a candidate object.

Abstract: A physical parameter estimating method, a physical parameter estimating device, and electronic apparatus are disclosed. The method includes: reading a Newton's rings fringe pattern of a unit to be measured; calculating a magnitude spectrum of an intensity distribution signal of at least one first-direction pixel set in the Newton's rings fringe pattern under each fractional Fourier transform (FRFT) order in a searching range of FRFT orders; determining a matched order of the intensity distribution signal according to the calculated magnitude spectrums; and estimating a physical parameter involved in the interferometric measurement according to at least the matched order. Therefore, physical parameters of the unit to be measured can be estimated with high accuracy even in presence of noise and obstacles in the fringe pattern.

Abstract: A padlock device includes a housing; a shackle associated within the housing and having, with respect to the housing, a closed configuration and an open configuration; a latch subsystem associated with the housing for securely retaining the shackle in the closed configuration, the latch subsystem electrically operable to release the shackle; a biometric sensor associated with the housing to electronically sense fingerprint data from a finger being sensed; a control subsystem in the housing in communication with the biometric sensor and the latch subsystem, the control subsystem comprising: internal processor-readable memory configured to store one or more fingerprint records, each fingerprint record comprising authorized fingerprint data associated with a respective fingerprint identifier; processing structure configured to receive sensed fingerprint data from the biometric sensor and to cause the latch subsystem to release the shackle in the event of a release condition requiring at least that the sensed fin

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

Abstract: A method of tracking an object includes performing a hybrid search over a sequence of frames. The hybrid search includes periodically performing a global search on selected frames of the sequence of frames and performing a local search on frames between the selected frames of the global search. The method also includes updating a similarity function based on a result of the hybrid search. The method further includes tracking the object based on the hybrid search.

Abstract: The present disclosure discloses system resource allocating method and device based on account activity level, wherein the method includes: acquiring an account activity level parameter of a user and calculating an account activity level of each user according to the account activity level parameter of the user; determining an account activity level rank of each user according to the account activity level of the user and a preset account activity level rank dividing manner; establishing an account activity level index of each user according to a user number, the account activity level and the account activity level rank of the user; allocating the system resource for performing the information processing to a target user according to the account activity level index of the target user, where the information processing is to be performed on the target user.

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

Abstract: A method of tracking a position of a target object in a video sequence includes identifying the target object in a reference frame. A generic mapping is applied to the target object being tracked. The generic mapping is generated by learning possible appearance variations of a generic object. The method also includes tracking the position of the target object in subsequent frames of the video sequence by determining whether an output of the generic mapping of the target object matches an output of the generic mapping of a candidate object.

Abstract: A method of tracking a position of a target object in a video sequence includes identifying the target object in a reference frame. A generic mapping is applied to the target object being tracked. The generic mapping is generated by learning possible appearance variations of a generic object. The method also includes tracking the position of the target object in subsequent frames of the video sequence by determining whether an output of the generic mapping of the target object matches an output of the generic mapping of a candidate object.