Provided are an expression realization method and device for virtual character, and a storage medium, the method comprising: acquiring sequence frames of respective parts of a face of the virtual character, wherein the sequence frames of respective parts contain part sequences corresponding to respective expressions; acquiring a first part sequence corresponding to a first expression and a second part sequence corresponding to a second expression from the sequence frames of respective parts, wherein the first part sequence comprises a first transition part sequence, and the second part sequence comprises a second transition part sequence; and successively playing the first part sequence and the second part sequence according to a first preset instruction, wherein a playing of the first transition part sequence is located at a tail of the playing of the first part sequence, and a playing of the second transition part sequence is located at a head of the playing of the second part sequence.

A device includes a display, a camera, a memory storing a software code, and a hardware processor configured to execute the software code to: configure the device to be in a first mode; receive, from the camera, camera data of an environment surrounding the device; determine that a person is present in the environment based on the camera data; determine that the person is facing the display based on the camera data; and transition the device from the first mode to a second mode, in response to determining that the person is facing the display. The display displays a first content when the device is in the first mode, and displays a second content different than the first content when the device is in the second mode. The second content is configured to provide information about the device to the person without requiring the person to touch the device.

A backlight face recognition method, a terminal device using the same, and a computer readable storage medium are provided. The method includes: performing a face detection on each original face image in an original face image sample set to obtain a face frame corresponding to the original face image; capturing the corresponding original face images from the original face image sample set, and obtaining a new face image containing background pixels corresponding to the captured original face images from the original face image sample set; preprocessing all the obtained new face images to obtain a backlight sample set and a normal lighting sample set; and training a convolutional neural network using the backlight sample set and the normal lighting sample set until the convolutional neural network reaches a preset stopping condition. The trained convolutional neural network will improve the accuracy of face recognition in complex background and strong light.

An animation system includes an animated figure, multiple sensors, and an animation controller that includes a processor and a memory. The memory stores instructions executable by the processor. The instructions cause the animation controller to receive guest detection data from the multiple sensors, receive shiny object detection data from the multiple sensors, determine an animation sequence of the animated figure based on the guest detection data and shiny object detection data, and transmit a control signal indicative of the animation sequence to cause the animated figure to execute the animation sequence. The guest detection data is indicative of a presence of a guest near the animated figure. The animation sequence is responsive to a shiny object detected on or near the guest based on the guest detection data and the shiny object detection data.

An electronic device according to one embodiment of the present invention comprises: at least one communication interface; a display; a memory; and at least one processor electrically connected to the at least one communication interface, the display, and the memory, wherein the memory may store instructions which, when executed, cause the at least one processor to: acquire, in response to receiving a request for service information related to broadcast content sent from a content server, at least one image frame included in the broadcast content; determine whether at least one face region has been detected within the at least one image frame; perform, if the at least one face region is determined to have been detected, image analysis on the basis of the detected at least one face region; and provide, through the display, service information corresponding to a result of the image analysis. In addition, various embodiments are possible.

In various embodiments, a clip application computes a set of appearance values for an appearance metric based on shot sequences associated with a media content item. Each appearance value in the set of appearance values indicates a prevalence of a first character in a different shot sequence associated with the media content item. The clip application then performs one or more clustering operations on the shot sequences based on the set of appearance values to generate a first shot cluster. Subsequently, the clip application generates a clip for the media content item based on the first shot cluster. The clip application transmits the clip to an endpoint device for display. Advantageously, relative to primarily manual approaches, the clip application can more efficiently and reliably generate clips for media content items.

An information processing apparatus includes: an imaging unit having an image sensor to detect a plurality of pieces of pixel information, the imaging unit being configured to generate an image made up of the plurality of pieces of pixel information detected by the image sensor; an image processor to detect whether a user is present or not in a predetermined detection range, based on an image made up of a plurality of pieces of pixel information detected by the image sensor; and an operation control unit to, when the image processor detects the user in the predetermined range, cancel a standby state where a part of the system functions stops. In the standby state, the imaging unit increases at least one of resolution and a frame rate in a stepwise manner to detect the plurality of pieces of pixel information.

An information processing apparatus includes an image acquisition unit configured to acquire an image, a first detection unit configured to detect a specific object from the image, a second detection unit configured to detect a part of the specific object from the image, an exposure determination unit configured to determine a first exposure amount with respect to the specific object detected by the first detection unit, and to determine a second exposure amount with respect to the part of the specific object detected by the second detection unit, and a parameter determination unit configured to determine a parameter regarding at least one of the first detection unit, the second detection unit, and the exposure determination unit.

Systems and methods are provided for control of a personal computing device based on user face detection and recognition techniques.

A person detection device configured to analyze a fisheye image obtained by a fisheye camera installed above a to-be-detected area to detect a person existing in the to-be-detected area includes a human body detector configured to detect a human body candidate from a fisheye image and output, as a detection result, a bounding box indicating a region on the fisheye image of each human body candidate detected, a reference storage configured to prestore a reference for a shape and/or size of the bounding box for each position or area on the fisheye image, and a false detection determining unit configured to compare the shape and/or size of the bounding box of the human body candidate contained in the detection result with the reference corresponding to a position where the human body candidate is detected to determine whether the human body candidate results from false detection.