G06T2219/00

PREDICTIVE INFORMATION FOR FREE SPACE GESTURE CONTROL AND COMMUNICATION
20170330374 · 2017-11-16 · ·

Free space machine interface and control can be facilitated by predictive entities useful in interpreting a control object's position and/or motion (including objects having one or more articulating members, i.e., humans and/or animals and/or machines). Predictive entities can be driven using motion information captured using image information or the equivalents. Predictive information can be improved applying techniques for correlating with information from observations.

Predictive information for free space gesture control and communication
09721383 · 2017-08-01 · ·

Free space machine interface and control can be facilitated by predictive entities useful in interpreting a control object's position and/or motion (including objects having one or more articulating members, i.e., humans and/or animals and/or machines). Predictive entities can be driven using motion information captured using image information or the equivalents. Predictive information can be improved applying techniques for correlating with information from observations.

Determining spans and span lengths of a control object in a free space gesture control environment

Free space machine interface and control can be facilitated by predictive entities useful in interpreting a control object's position and/or motion (including objects having one or more articulating members, i.e., humans and/or animals and/or machines). Predictive entities can be driven using motion information captured using image information or the equivalents. Predictive information can be improved applying techniques for correlating with information from observations.

ANALYZING CONTROL OBJECTS IN A FREE SPACE GESTURE CONTROL ENVIRONMENT

Free space machine interface and control can be facilitated by predictive entities useful in interpreting a control object's position and/or motion (including objects having one or more articulating members, i.e., humans and/or animals and/or machines). Predictive entities can be driven using motion information captured using image information or the equivalents. Predictive information can be improved applying techniques for correlating with information from observations.

Generating three-dimensional rowview representation(s) of row(s) of an agricultural field and use thereof
12530850 · 2026-01-20 · ·

Implementations are directed to generating corresponding three-dimensional (3D) rowview representation(s) of row(s) of an agricultural field at various time instance(s) to enable a human operator of the agricultural field to virtually traverse through the row(s) at the various time instance(s). In some implementations, the corresponding 3D rowview representation(s) can be generated based on corresponding vision data captured at the various time instance(s). The corresponding 3D rowview representation(s) can be generated based on processing the corresponding vision data. Further, the corresponding 3D rowview representation(s) can be provided to a client device of the human operator of the agricultural field to enable the human operator to virtually traverse through the row(s) of the agricultural field at the various time instance(s). In some implementations, the corresponding 3D rowview representation(s) can be annotated with inference(s) made with respect to the row(s) and/or corresponding non-vision data obtained for the various time instance(s).