Trace & Extract 3D Objects from Video

From Australian Centre fro Visual Technologies:

VideoTrace is a system for interactively generating realistic 3D models of objects from video—models that might be inserted into a video game, a simulation environment, or another video sequence. The user interacts with VideoTrace by tracing the shape of the object to be modelled over one or more frames of the video. By interpreting the sketch drawn by the user in light of 3D information obtained from computer vision techniques, a small number of simple 2D interactions can be used to generate a realistic 3D model. Each of the sketching operations in VideoTrace provides an intuitive and powerful means of modelling shape from video, and executes quickly enough to be used interactively. Immediate feedback allows the user to model rapidly those parts of the scene which are of interest and to the level of detail required. The combination of automated and manual reconstruction allows VideoTrace to model parts of the scene not visible, and to succeed in cases where purely automated approaches would fail.

2 Years Post Neven Deal...Google Launches Face Rec

Via TechCrunch:

In the anticipated release of Google’s new and improved Picasa, the company will offer facial recognition technology to help you identify friends and family in your pictures without requiring you to tag them by-hand each time you see them.

Launching at noon PDT today, Picasa’s facial recognition technology will ask you to identify people in your pictures that you haven’t tagged yet. Once you do and start uploading more pictures, Picasa starts suggesting tags for people based on the similarity between their face in the picture and the tags you already put in place for them.

The facial recognition technology comes to Picasa thanks to an acquisition Google made in 2006 of Neven Vision, a company that specialized in matching facial detail with images already found in a centralized database. Picasa’a facial recognition technology works in much the same way.