One of the problems with the web is that information is often ephemeral, (as distinct from information in say books that remain available via libraries for perhaps hundreds of years). Despite its mission to "make all the world's information accessible", and the strides that Google Books is making in unlocking some of the information locked up in libraries, Google itself is notoriously bad at preserving the information it is personally responsible for. I've spoken before how it has withdrawn masses of useful information in its own products forums, and we are seeing the pattern repeated once again with its new acquisition, Neven Vision.
When I first posted yesterday on the Neven Vision sale, the main website was down. It came back up later in the day, allowing a lot of background info on the company to be read, but by the end of the day it had all been wiped. Now the site merely contains the simple announcement: "Thank you for your interest. Neven Vision was recently acquired by Google Inc. and Neven Vision product information is no longer available on this site. Click here to learn more."
In an effort to preserve some of the knowledge that the site imparted, here are a few gleanings from notes I made earlier:
Products cover two areas - Biometric Identification, and Consumer Applications.
Products for consumer applications include
- iScout, which allows camera phone users to take photos to initiate a search process and get relevant information or content sent to their phone.
- Photo management for phone handsets - where face recognition adds automatic tags to allow sorting of images by who they show
- Mobile security, where the phone handset only permits users whose faces it recognizes to do certain things, such as access email
- Masquerade - to add accessories such as hats, masks and glasses to photos
- Delegate - uses face detection and facial feature tracking to drive 3D avatars for enhanced chatting and video conferencing from a mobile camera
- Image search - facial matching to find friends wherever they may have posted their images, and to spot similarities to celebrities
Partners for consumer applications include Coca Cola, Jamster, NEC, Samsung, vodafone, Toshiba, Sharp, Logitech, NTT DoCoMo.
Biometric Identification products are used by a number of law enforcement agencies.
Summary of the technology
Computer Vision, also known as Machine Vision, is a field of technology engaged in teaching computers to "see" and understand visual imagery. Neven Vision is primarily focused on the subset of computer vision known as visual sensing , which is the automated extraction of information about objects or scenes in one or more images.
Neven Vision's computer vision technology is the fastest in the industry and represents leading accomplishments in this field. Several U.S. patents have been granted to Neven Vision for its unique inventions. U.S. government and independent observers have recognized the underlying technology as most advanced with respect to accuracy, speed and efficiency.
The core building blocks of the company's vision-enabled products and services are our patented face and object recognition engines. Below is a simple representation of how each of these engines work.
Face Recognition
- Faces in an image are automatically detected by a robust face finder component that determines the position and size of the face in real world conditions (varying illumination, pose and expression).
- A second processing stage determines the position of local features on the face, called “landmark finding”.
- Then a Gabor Wavelet transformation takes place to compute the “face-template” from the local features by extracting the template from an image that contains the essential, condensed facial information needed to determine a person's identity (a “face-template” is only about 1kByte in size; min <350bytes max 1.6KBytes). Two templates are then compared to yield a similarity. Templates belonging to the same person produce high similarity while templates from different persons produce low similarities.
Object Recognition
Neven Vision's object recognition technology is based on a local feature approach:
- Objects are recognized by identifying characteristic points of an object, deriving feature vectors from the texture in the vicinity of the characteristic points.
- These feature vectors are then compared to a database of known objects to establish matching correspondences between the current object and the objects contained in the database.
- If a sufficient number of local feature correspondences is found, a positive identification is accepted.
Office Locations
LOS ANGELES, CALIFORNIA
Neven Vision
2400 Broadway, Suite 240
Santa Monica, CA 90404
PHONE
(877) 6-NVISION
(310) 828.0898
FAX
(310) 828.0479
TOKYO, JAPAN
DAI2 Okamotoya Bldg. 4F
1-22-16, Toranomon, Minato-Ku,
Tokyo 105-0001, Japan
PHONE
(81) 3-5251-5631
FAX
(81) 3-5251-5632
HAMBURG, GERMANY
Neven Vision Germany GmbH
Ziegelweg 5
D-26188 Edewecht
Germany
PHONE
+49 180 33 48899
FAX
+49 180 30 03331 2914
MUNICH, GERMANY
PHONE
+49 89 89 99 99 77
FAX
+49 89 89 99 99 78
UK
PHONE
+44 (0) 7956-264-27
Executive Management
Alex Cory CEO
Dr. Hartmut Neven Founder AND CTO
Jordan Posell CFO
BIOMETRICS
Piet Lesage General Manager, Biometrics
Catharine Evans Director, Biometrics
TECHNICAL & PRODUCT MANAGEMENT
Detlev Schwabe VP Product Engineering
Ameen Ahmad Sr. Director, Product Mgmt & Mktg
Hartwig Adam VP Platform Technology
SALES
Stefan Fleissner VP, Europe
Craig Patton GM, UK Operations
Paul Cushman VP, US
Axel Boesche GM, Neven Vision Germany
Bret Crochet VP Bus. Dev., Southeast Asia
FINANCE
Steven M. Kantor, CPA VP Finance
BOARD OF DIRECTORS
William Woodward Managing Director, Anthem Venture Partners
Dr. Hartmut Neven CTO, Neven Vision
Niloo Howe Partner, Paladin Capital Group
Todd Jerry Partner, Anthem Venture Partners
Barak Bussel Partner. Third Wave Ventures
BOARD OF ADVISORS
Dr. Roland Deiser Managing Partner, Kingstone Partners
Jaron Lanier VISIONARY
Hiroshi Shin Ohashi CEO, Big Bridge
List of patents
- EP1072018 Wavelet-Based Facial Motion Capture for Avatar Animation
- 1072014 Face Recognition from Video Images
- EP1072018 Wavelet-Based Facial Motion Capture for Avatar Animation
- 218457 Face Recognition from Video Images
- 218458 Wavelet-Based Facial Motion Capture for Avatar Animation
- EP1072018 Wavelet-Based Facial Motion Capture for Avatar Animation
- 1072014 Face Recognition from Video Images
- 6714661 Method & System for Customizing Facial Feature Tracking Using Precise Landmark
- 6222939 Labeled Bunch Graphs for Image Analysis (EYEM1160/ NE01)
- 6356659 Labeled Bunch Graphs for Image Analysis
- 6563950 Labeled Bunch Graphs for Image Analysis
- 6466695 Procedure for Automatic Analysis of Images & Image Sequences Based on Two Dimensional Shape Primitives
- 6272231 Wavelet-Based Facial Motion Capture for Avatar Animation
- 6580811 Wavelet-Based Facial Motion Capture for Avatar Animation
- 6301370 Face Recognition from Video Imag
Labels: neven vision