Multi process matching depth image between stereo camera and structure sensor in realtime

A map of a location made of a human mindset is made briefly by recording a situation already seen in memory. Human behavior is easy to do without a lot of thinking. The process is observed more deeply that when the human mind does not do the behavior in turn like looking at the whole room then just remember, but humans can see at once remember simultaneously. Bringing human behavior into a computer system is done by mimicking how humans look. Looking at using two cameras in combination with the sensor structure. To process the device requires a large computing. Be a challenge for Portable CPU that have lower capabilities than high end CPU. For that humanoid robot can perform tasks simultaneously and can accelerate, especially in image processing using portable CPU required a method that makes the processing into realtime. Achieving realtime with data from previous researcher can not be done with sequential algorithms when the complexity is high. After analyzing the problem was built parallel camera mapping process using multithread algorithm. This paper aims to accelerate the basic process of making the map so as to achieve realtime. This research aims to change the previous process that runs sequentially into a parallel system using multithread algorithm. The results of each process are compared between parallel systems with multithread algorithm and do not use parallel systems. There is a change in speed between the two processes. Further research is concerned with improving the mapping environment results when visualized.