Htc Corporation

Chun-Li Wang

Tung-Ting Yang

Hung-Yi Yang

Cheng-Hsien Lin

Meng-Chi Tsai

Yao-Chen Kuo

Jen-Chun Wang

Yi-Cheng Lai

Caesar Tan

A head-mounted display and projecting method are provided. The display determines an eye gaze position of a user on a display screen at each of a plurality of time points based on an eyeball trajectory. The display determines whether the eye gaze position of the user on the display screen moves from a first horizontal display area to a second horizontal display area among a plurality of horizontal display areas, and the display screen includes a target projection object in the first horizontal display area. In response to the eye gaze position of the user on the display screen moving from the first horizontal display area to the second horizontal display area, the display tilts the target projection object of the display screen toward the second horizontal display area.

Head-mounted display and projecting method

A face tracking device, system, and method are provided. The device determines a behavioral state corresponding to a face area of a user based on multiple real-time images. The device adjusts the inference rate of a neural network based on the behavioral state. The device generates face tracking information corresponding to the user based on the real-time images and the neural network, and the neural network is controlled to execute based on the inference rate.

Face tracking device, system, and method

The disclosure provides a method for determining a two-handed gesture, a host, and a computer readable medium. The method includes: providing a visual content of a reality system; tracking a first hand gesture and a second hand gesture perform by two hands; in response to determining that the first hand gesture and the second hand gesture form a two-handed gesture, activating a system function of the reality system, wherein the system function of the reality system is independent to the visual content.

Method for determining two-handed gesture, host, and computer readable medium

An image processing method includes the following steps: dividing an object block into a two-dimensional image; identifying at least one view hotspot in a viewing field corresponding to pupil gaze direction; receiving the view hotspot and an indicator signal; wherein the indicator signal is used to remark the object block; and generating a mask block that corresponds to the object block according to the view hotspot; wherein the indicator signal determines the label of the mask block.

Image processing system and image processing method

The disclosure provides a method for generating action according to an audio signal and an electronic device. The method includes: receiving an audio signal and extracting a high-level audio feature therefrom; extracting a latent audio feature from the high-level audio feature; in response to determining that the audio signal corresponds to a beat, obtaining a joint angle distribution matrix based on the latent audio feature; in response to determining that the audio signal corresponds to a music, obtaining a plurality of designated joint angles corresponding to a plurality of joint points based on the joint angle distribution matrix; and adjusting a joint angle of each of the joint points on the avatar according to the designated joint angles.

Method for generating action according to audio signal and electronic device

An image processing method includes the following steps: receiving a two-dimensional image and segmenting an object block in the two-dimensional image, masking the object block with a color block to generate a mask image; inputting the two-dimensional image and the mask image into a first image processing model, outputting a feature vector from the first image processing model; and inputting the two-dimensional image into a second image processing model to obtain a feature map. The feature map comprises a plurality of feature channel maps, and the feature vector contains a plurality of feature values. Each of the feature channel maps corresponds to one of the feature values in sequence. A weighted feature map is generated according to the feature channel maps and the feature values.

An image segmentation method is providing that includes the steps outlined below. A first image corresponding to a first time spot and a second image corresponding to a second time spot are received from a video stream, wherein the second time spot is behind the first time spot. Segmentation is performed on the second image by a segmentation neural network to generate a label probability set. Similarity determination is performed on the first image and the second image by a similarity calculation neural network to generate a similarity probability set. The label probability set and the similarity probability set are concatenated by a concatenating unit to generate a concatenated result. Further inference is performed on the concatenated result by a strategic neural network to generate a label mask.

Growing community of inventors

Taoyuan, Taiwan

Chun-Li Wang