Abstract: The technology relates to methods and systems for implicit calibration for gaze tracking. This can include receiving, by a neural network module, display content that is associated with presentation on a display screen (1202). The neural network module may also receive uncalibrated gaze information, in which the uncalibrated gaze information includes an uncalibrated gaze trajectory that is associated with a viewer gaze of the display content on the display screen (1204). A selected function is applied by the neural network module to the uncalibrated gaze information and the display content to generate a user-specific gaze function (1206). The user-specific gaze function has one or more personalized parameters. And the neural network module can then apply the user-specific gaze function to the uncalibrated gaze information to generate calibrated gaze information associated with the display content on the display screen (1208).

Abstract: A method, system and apparatus for viewing and imaging an underwater structure from a submersible platform, navigating along the structure and constructing a map of the structure in the forms of a photo-mosaic and a 3-D structural map. The system can include a submersible platform, at least two cameras coupled to the submersible platform, and stereovision matching logic programmed to simulate a frontal view of a target underwater structure from a fixed distance based upon an oblique view of the target underwater structure obtained by the cameras from a variable distance. The cameras can be forward or side mounted to the submersible platform and can include optical cameras, acoustical cameras or both. Preferably, the submersible platform can be a remotely operated vehicle (ROV), or an autonomous underwater vehicle (AUV). Finally, the system further can include absolute positioning sensors.

Abstract: A method, system and apparatus for viewing and imaging an underwater structure from a submersible platform, navigating along the structure and constructing a map of the structure in the forms of a photo-mosaic and a 3-D structural map. The system can include a submersible platform, at least two cameras coupled to the submersible platform, and stereovision matching logic programmed to simulate a frontal view of a target underwater structure from a fixed distance based upon an oblique view of the target underwater structure obtained by the cameras from a variable distance. The cameras can be forward or side mounted to the submersible platform and can include optical cameras, acoustical cameras or both. Preferably, the submersible platform can be a remotely operated vehicle (ROV), or an autonomous underwater vehicle (AUV). Finally, the system further can include absolute positioning sensors.