Arcsoft Corporation Limited

Arcsoft (hangzhou) Multimedia Technology Co., Ltd.

Multimedia Image Solution Limited

Li Mei

Jin Wang

Mingming Zhu

Hua Lei

Zhiwei Zhang

JianFeng Li

Hua-Qi Zhang

Hong Gu

Jiacai Zhao

Jian-Xin Pang

An embodiment of the present disclosure provides a method for enhancing a fingerprint image, identifying a fingerprint, and starting-up a application program. The method for enhancing the fingerprint image includes: removing a background texture of a fingerprint image of a current frame to obtain a pure fingerprint image; performing a first preprocessing on the pure fingerprint image to obtain a first pre-processed image; obtaining an effective area of the first pre-processed image; performing direction field estimation and direction field correction on the effective area; and performing a second pre-processing on the effective area after direction field correction to obtain an enhanced fingerprint image. With the solution of this embodiment, the number of fingerprint collections is reduced, the quality of fingerprint images is improved, the complexity of fingerprint collection is reduced, the efficiency of fingerprint unlocking is improved, and the user experience is improved.

Method for enhancing fingerprint image, identifying fingerprint and starting-up application program

A smart refrigerator has a body having a shelf and a drawer, a door coupled to the body and has a plurality of trays. The shelf has a corresponding camera configured to capture an image of items on the shelf. The drawer has a corresponding camera configured to capture an image of items in the drawer. The trays have a corresponding camera configured to capture an image of items in the trays. The images captured by the cameras are processed to identify the type of the item and the location of the item within the smart refrigerator.

Smart refrigerator

A vision-based user interface includes an image input unit for capturing frame images, an image processor for recognizing a posture in at least one of the captured frame images, and generating a recognized gesture according to the posture, and a control unit for generating a control command corresponding to the recognized gesture.

Vision-based user interface and related method

The present invention relates to a method for detecting and showing quality of a preview or stored picture in an electronic imaging device, which comprises the steps of determining whether the electronic imaging device is operated in a preview mode or a file mode; detecting at least four features of the preview or stored picture; determining whether each of the features of the preview or stored picture is normal or not; and displaying the preview or stored picture and at least one of four graphical indicators on a LCD screen of the electronic imaging device when it is determined that the feature corresponding to the graphical indicator is not in a normal status. Thus, a user is able to easily identify the features of the preview or stored picture in a graphical way on the LCD screen in a real time while reviewing the preview or stored picture.

Method for detecting and showing quality of a preview or stored picture in an electronic imaging device

A method determining image orientation includes determining if an image includes an orientation tag and if the tag indicates the image is rotated +90 or &#x2212;90 degrees. When the image does not include the tag or the tag does not indicate the image is rotated, the method includes determining if a face is detected in the original image and displaying the original image when a face is detected. When a face is not detected, the method includes rotating the image +90 and &#x2212;90 degrees and detecting a face in the rotated images. When a face is not detected, the method includes applying a classifier to determine the image's proper orientation. When a face is detected in one rotated image, the method includes displaying the rotated image. When a face is detected in both rotated images, the method includes applying the classifier to determine the image's proper orientation.

Automatic photo orientation detection

A method includes (a) performing image deblur at the original size of underexposed and normally exposed images when their original image size is small. Otherwise, the method includes (b) downsizing the images and performing image deblur on the downsized images. The image deblur on downsized images includes (c) applying a global color transfer between the images if their difference of average gray values is small. Otherwise, the method includes four successive sub-procedures: (d) histogram customizing of the underexposed image based on the normally exposed image; (e) region segmentation for the histogram-customized underexposed image and local alignment of regions in the histogram-customized underexposed image with the normally exposed image; (f) color tuning for the histogram-customized underexposed image based on the local alignment and a global alignment between the underexposed and the normally exposed images; and (g) local color transfer with multi-size neighbor windows from between the images.

Growing community of inventors

Hangzhou, China

Li Mei