Hui J Cheng

US Patent:

6983068, Jan 3, 2006

Filed:

Sep 28, 2001

Appl. No.:

09/965922

Inventors:

Salil Prabhakar - Redwood City CA, US
Hui Cheng - Bridgewater NJ, US
Zhigang Fan - Webster NY, US
John C. Handley - Fairport NY, US
Ying-wei Lin - Penfield NY, US

Assignee:

Xerox Corporation - Stamford CT

International Classification:

G06K 9/00

US Classification:

382162, 382224

Abstract:

A method and system for image processing, in conjunction with classification of images between natural pictures and synthetic graphics, using SGLD texture (e. g. , variance, bias, skewness, and fitness), color discreteness (e. g. , RL, RU, and RV normalized histograms), or edge features (e. g. , pixels per detected edge, horizontal edges, and vertical edges) is provided. In another embodiment, a picture/graphics classifier using combinations of SGLD texture, color discreteness, and edge features is provided. In still another embodiment, a “soft” image classifier using combinations of two (2) or more SGLD texture, color discreteness, and edge features is provided. The “soft” classifier uses image features to classify areas of an input image in picture, graphics, or fuzzy classes.

US Patent:

7119924, Oct 10, 2006

Filed:

Sep 28, 2001

Appl. No.:

09/966030

Inventors:

Salil Prabhakar - Redwood City CA, US
Raja Bala - Webster NY, US
Hui Cheng - Bridgewater NJ, US
John C. Handley - Fairport NY, US
Ying-wei Lin - Penfield NY, US

Assignee:

Xerox Corporation - Stamford CT

International Classification:

G06F 15/00

US Classification:

358 19, 358522, 358518, 382164, 382167, 382168, 382171, 382173, 382281, 345590, 345591

Abstract:

A process for color graphics image processing, related to detection and segmentation of sweeps, is provided. An input graphics image is transformed into a three-dimensional histogram in an appropriate color space (e. g. , CIELUV). Two-dimensional histograms are estimated from the three-dimensional histogram The two-dimensional histograms are processed to detect and segment sweeps Sweep segment information from the processing of the two-dimensional histograms is combined The combined sweep segment information is used to process the input graphics image to identify and segment sweeps Post-processing may be optionally and selectively used to reject false alarms (i. e. , areas falsely identified as sweeps).

US Patent:

8454055, Jun 4, 2013

Filed:

Aug 27, 2008

Appl. No.:

12/199673

Inventors:

Hui Ting Cheng - Sunnyvale CA, US
Marusia Musacchio - Mexico City, MX

International Classification:

B42F 21/00
B65D 27/00

US Classification:

283 38, 283 36, 283 37, 283 42, 283 43, 40359, 40360

Abstract:

A booklet with removable cards, together with a variety of systems, methods, and applications associated therewith. Embodiments can be incorporated into books, booklets, maps, catalogs, travel guides, schedules, and other printed information and materials. In one embodiment, the booklet comprises a travel guide having a plurality of information cards as pages. Each information card can provide information about a travel destination, language translation, cultural pointers, or other information. The cards are bound using a first ring fastener that can be opened by the reader so that one or more cards can be removed from the booklet, and carried in a wallet, on a second ring fastener, or as a second booklet, distinct from the main booklet.

US Patent:

20200156254, May 21, 2020

Filed:

Nov 20, 2018

Appl. No.:

16/197021

Inventors:

- Beijing, CN
- Mountain View CA, US
Hui Cheng - Mountain View CA, US
Zhengmao Liu - Mountain View CA, US

International Classification:

B25J 9/16
G06K 9/32
G06T 7/62

Abstract:

A method and system for monitoring an e-commerce platform. The system includes a computing device and a visual sensor. The computing device includes a processor and a storage device storing computer executable code. The computer executable code, when executed at the processor, is configured to: extract image keypoints from an image of the object captured by the visual sensor; retrieve a template of the object, where the template includes template keypoints of at least one template side surface of the object; pick two template keypoints from the template side surface and determine two image keypoints respectively matching the two picked template keypoints; build a bounding box of the object based on the two determined image keypoints; and refine the bounding box.

US Patent:

20200094401, Mar 26, 2020

Filed:

Sep 21, 2018

Appl. No.:

16/137812

Inventors:

- Beijing, CN
- Mountain View CA, US
Hui Cheng - Mountain View CA, US

International Classification:

B25J 9/16

Abstract:

A system for automatic learning of product manipulation, includes multiple scales for determining weight distributions of a product at different locations; multiple sensors for capturing images of the product; a robotic device for manipulating the product; and a computing device in communication with the other components. The computing device is configured to: control the robotic device to manipulate the product with predetermined parameters; determine dimensions and orientation of the product before and after the manipulation; calculate weight distribution of the product; evaluate the parameters; and determine suitable manipulation parameters of the product based on the evaluation.

US Patent:

20200097892, Mar 26, 2020

Filed:

Sep 21, 2018

Appl. No.:

16/137765

Inventors:

- Beijing, CN
- Mountain View CA, US
Hui Cheng - Mountain View CA, US

International Classification:

G06Q 10/08
G06K 7/10
G06K 7/14

Abstract:

A system for automatic product enrollment, includes: multiple visual sensors configured to capture images of a product; multiple scales configured to measure weight distribution of the product; and a computing device in communication with the visual sensors and the scales. The computing device is configured to: determine identification of the product and construct a 3D model of the product using the captured images; retrieve warehouse information of the product based on the identification; and enroll the warehouse information, the 3D model, and the weight distribution of the product into a product database. An automatic product enrollment method using the system.