PROJECT TITLE :

A 27 mW Reconfigurable Marker-Less Logarithmic Camera Pose Estimation Engine for Mobile Augmented Reality Processor

ABSTRACT:

A marker-less camera cause estimation engine (CPEE) with reconfigurable logarithmic SIMD processor is proposed for the view angle estimation used in mobile augmented reality (AR) applications. Compared to previous marker-primarily based approach, marker-less camera create estimation can overlay virtual pictures directly on wildlife while not the help of markers. But, they require one hundred fifty× larger computing prices and massive power consuming floating-point operations where such requirement severely restricts real-time operations and low-power implementations in mobile platform, respectively. To overcome the gap in computational prices between marker-primarily based and marker-less methodology, speculative execution (SE) and reconfigurable information-arrangement layer (RDL) are proposed to cut back computing time by 17p.c and 27p.c, respectively. For low-power implementation of floating-point units, logarithmic processing part (LPE) is intended to scale back overall power consumption by 18percent. The proposed marker-less CPEE is fabricated in sixty five nm Logic CMOS technology, and successfully realizes real-time marker-less camera create estimation with solely 27 mW power consumption.