发明名称 DETERMINING PITCH FOR PROXIMITY SENSITIVE INTERACTIONS
摘要 Methods and apparatuses are provided for determining a pitch and yaw of an elongated interface object relative to a proximity sensitive surface. In one aspect, a proximity image is received having proximity image data from which it can be determined which areas of the proximity sensitive surface sensed the elongated interface object during a period of time. A proximity blob is identified in the proximity image and the proximity image is transformed using a plurality of different transformations to obtain a plurality of differently transformed proximity images. A plurality of features is determined for the identified blob in the transformed proximity images and the pitch of the elongated interface object relative to the proximity sensitive surface is determined based upon the determined features and a multi-dimensional heuristic regression model of the proximity sensitive surface; and a yaw is determined based upon the pitch.
申请公布号 US2017024892(A1) 申请公布日期 2017.01.26
申请号 US201615198062 申请日期 2016.06.30
申请人 QEEXO, CO. 发明人 HARRISON CHRISTOPHER;SCHWARZ JULIA;XIAO ROBERT BO
分类号 G06T7/00;G06F3/044;G06F3/041 主分类号 G06T7/00
代理机构 代理人
主权项 1. A method for determining the pitch of an elongated interface object relative to a proximity sensitive surface, the method comprising: receiving proximity image data from which it can be determined which areas of the proximity sensitive surface sensed the elongated interface object during a predetermined period of time; identifying a proximity blob in the proximity image data; transforming proximity image data associated with the proximity blob using a plurality of different transformations to obtain a plurality of differently transformed blob proximity image data; determining a plurality of features of the transformed proximity image data associated with the blob; determining the pitch of the elongated interface object relative to the proximity sensitive surface based upon the determined features and a multi-dimensional heuristic regression model of the proximity sensitive surface; and determining a yaw based upon the determined features and the determined pitch data.
地址 Mountain View CA US