Abstract: To get optimal camera images for human pose estimation, including, specifically, hand tracking, a network is trained to simultaneously do hand pose estimation and camera control. By combining these tasks into a single network, the accuracy of the hand tracking during training is used as feedback to guide how the network controls the camera parameters. This approach is enhanced by independently controlling the exposure parameters of each participating camera or sensor. This expands the dynamic range beyond what is possible with a single camera, enabling improved functionality across a broader range of environments or with lower bit depths and reduced system power. This method is applicable to systems with any number of tracking sensors, as it involves capturing multi-exposure images of the scene volume both temporally and spatially.

Abstract: A system which includes a mobile device and a server. The mobile device captures images of the survey site. A pose sensor detects the pose of the mobile device. The captured images are transferred to a data processor running a 3D reconstruction algorithm. The 3D reconstruction algorithm generates 3D survey data based on the images which is used to develop a local 3D model. The data processor also uses the images to create processed data. A transceiver transmits the processed data and/or pose data to the server. The server receives the 3D survey data and develops a server site 3D model.

Abstract: A computing device for video object detection. Images from a camera are transferred in parallel to a first processor running object detection and a second processor running a 3D reconstruction. The object detection identifies a semantic object of interest and assigns a label to it and outputs the label information to an object mapper. The object mapper assigns the label to a component in the 3D model representing the object. The computing device can form part of a subsea or other harsh environment imaging system.

Abstract: A camera module for imaging in harsh environments, the camera module comprising: a casing defining a fluid tight sealed interior space, the casing being arranged to be mounted on a platform; a camera arranged to face outwardly from the casing to capture images; a data processor; an internal data link coupled between the camera and the data processor to transfer image data from the camera to the data processor; and an external data link coupled to the camera or the data processor and being arranged to communicatively couple the camera module to an external computing device distinct from the camera.

Abstract: A system which includes a mobile device and a server. The mobile device captures images of the survey site. A pose sensor detects the pose of the mobile device. The captured images are transferred to a data processor running a 3D reconstruction algorithm. The 3D reconstruction algorithm generates 3D survey data based on the images which is used to develop a local 3D model. The data processor also uses the images to create processed data. A transceiver transmits the processed data and/or pose data to the server. The server receives the 3D survey data and develops a server site 3D model.

Abstract: A computing device for video object detection. Images from a camera are transferred in parallel to a first processor running object detection and a second processor running a 3D reconstruction. The object detection identifies a semantic object of interest and assigns a label to it and outputs the label information to an object mapper. The object mapper assigns the label to a component in the 3D model representing the object. The computing device can form part of a subsea or other harsh environment imaging system.

Abstract: A camera module for imaging in harsh environments, the camera module comprising: a casing defining a fluid tight sealed interior space, the casing being arranged to be mounted on a platform; a camera arranged to face outwardly from the casing to capture images; a data processor; an internal data link coupled between the camera and the data processor to transfer image data from the camera to the data processor; and an external data link coupled to the camera or the data processor and being arranged to communicatively couple the camera module to an external computing device distinct from the camera.

Abstract: The invention relates to a personalized communications method associated with various computer applications, and to a corresponding program product. The method comprises the steps of: associating the various applications with a common interface adapted to be configured to contain identity data for the common interface, in verifying during installation of each application on the computer whether the common interface is already present, in automatically linking the application with the common interface when the common interface is already installed, in establishing a connection between the common interface and a server on launching an application, and in transmitting to the server at least part of the identity data of the common interface.