Htc Corporation

Quanta Computer Incorporated

Yu-Cheng Hsu

Jing-Lung Wu

Hsin-Ti Chueh

Ching-Chih Shih

Hung-Yi Yang

Chia Yen Michael Lin

Li-Chun Hsu

Hung-Chih Yang

Cheng-Yuan Shih

Jui-Hsuan Chang

Sheng-Yen Lo

Chia-Yen Michael Lin

Kun-Hu Tsai

The present disclosure provides a system and method for automatically composing resources in a data center using a management application. The management application can communicate with a data center management software to collect information of computer resource, storage resource, and network resource of the data center. Based at least upon the network resource information of the data center, the management application can generate a network topology of the data center. In response to receiving a request from a specific user, the management application can compose suitable resources of the data center to match the request.

Composing by network attributes

A 3D model reconstruction method includes: providing, by one or more laser emitters, laser beams; capturing, by a depth camera on an electronic device, a depth data of a target object when that the electronic device moves around the target object; detecting, by one or more light sensors on the electronic device, the laser beams emitted by the one or more laser emitters to obtain a camera pose initial value of the depth camera accordingly; and performing, by a processing circuit, a 3D reconstruction of the target object using the depth data based on the camera pose initial value to output a 3D model of the target object.

3D model reconstruction method, electronic device, and non-transitory computer readable storage medium

An exposure value adjustment apparatus, method, and non-transitory tangible machine-readable medium thereof are provided. The exposure value adjustment apparatus includes a camera module and a processor. The camera module captures a reference image by a base exposure value. The processor generates a histogram of the reference image, divides the histogram into a low partial histogram, a middle partial histogram, and a high partial histogram by a first threshold and a second threshold, decides a high exposure value according to the low partial histogram and the middle partial histogram, decides a low exposure value according to the high partial histogram and the middle partial histogram, and decides a middle exposure value according to the high exposure value and the low exposure value. The low exposure value is lower than the high exposure value, and the middle exposure value is between the high exposure value and the low exposure value.

Exposure value adjustment apparatus, method, and non-transitory tangible machine-readable medium thereof

Methods and systems for scene recognition are provided. At least one dark region from an image is searched, and color for pixels of the at least one dark region is calculated. It is determined whether a proportion of low colorfulness pixels to the pixels of the at least one dark region is greater than a predefined threshold, wherein when the color information of the respective pixel is less than a specific level, the respective pixel is determined as low colorfulness. When the proportion of low colorfulness pixels to the pixels of the at least one dark region is greater than the predefined threshold, a scene corresponding to the image is not determined as a backlight scene.

Methods and systems for scene recognition

Growing community of inventors

Taoyuan, Taiwan

Yu-Cheng Hsu