A team of Stanford computer scientists have developed software that can serve as a key enabling technology for location-aware services indoors. Location-aware services are an important emerging technology for mobile devices.
Stanford researchers have patented a hardware and software system designed for automated assisted steering that combines automated and human vehicle control within driving lanes.
Stanford researchers have patented a data-driven method for building a human shape model that spans variation in both subject shape and pose. The method is based on a representation that incorporates both articulated and non-rigid deformations.
This portfolio of inventions provides the tools for an advanced navigational system and panoramic virtual tours – technology that is incorporated in Google Street View.
Although tracking has been studied for decades, real-time tracking algorithms often suffer from low accuracy and poor robustness when confronted with difficult, real-world data.
A team of researchers from the Stanford Artificial Intelligence Laboratory have patented a portfolio of innovations that harness depth sensing technology to analyze human motion for touch-free control of devices and motion capture.
A team of researchers from the Stanford Artificial Intelligence Laboratory have developed a portfolio of patented innovations that harness depth sensing technology to analyze human motion for touch-free control of devices and motion capture.
Researchers from Stanford University and the Max Planck Institute have patented a new marker-less approach to capturing human performances from multi-view video.
A team of researchers from the Stanford Artificial Intelligence Laboratory have developed a portfolio of patented innovations that harness depth sensing technology to analyze human motion for touch-free control of devices and motion capture.
A team of researchers from the Stanford Artificial Intelligence Laboratory have developed a portfolio of patented innovations that harness depth sensing technology to analyze human motion for touch-free control of devices and motion capture.
This software system acquires panoramic video footage and makes the data viewable on a Web browser. The system enables a human editor to select specific subsequences of the data, and organize it, and have others view it.
Stanford researchers have created software to view panoramic videos from arbitrary viewpoints from separate non-overlapping geo-referenced panoramic video streams. Ths system can also synthesize missing panoramic images to provide the user with a full sequence.
This user interface enables a user to define tags within virtual tour applications that label objects in panoramic images and video – a process that has been very difficult to achieve prior to this invention.