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Parsing urban scene images benefits many applications, especially self-driving. Most of the current solutions employ generic image parsing models that treat all scales and locations in the images equally and do not consider the geometry property of car-captured urban scene images. Thus, they suffer from heterogeneous object scales caused by perspective projection of cameras on actual scenes and inevitably...
This paper points out a new telltale trace – the characteristic of perspective distortion (CPD), for the image forensics of faces. The perspective distortion is determined by the position of image shooting, and it is often overlooked when creating a forgery, which results in the inconsistency between the claimed camera parameters and the CPD in the face image. To investigate this consistency problem,...
Sensor-based localization, as one of the essential parts for robot navigation, continues to be a major research focus in mobile robotics. In this paper, we consider a more challenging localization scenario where an autonomous robotic fish localizes itself with onboard sensors (camera and Inertial Measurement Unit(IMU)) in the water. Specifically, an underwater image processing algorithm is introduced...
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