The new methodological approach to division of angle, with change of dimensionality and perspective for the sake of improved efficiency, faster insight to the essence of the process and problem-solving in real time and under outdoor conditions

The dividing of an angle at a certain proportion in an unambiguous way was shown by an analytical approach, taking into account the prospects and dimensionality [3]. Looking at the problem from the standpoint of antique principles and simultaneous contemporary approach to descriptive geometry proved to be necessary modernization of the tools used in solving of the practical construction problems by drawing. Importance of drawing on paper respective software tools used on PCs and tablets was emphasized. The fastest and most reliable solutions mostly were presented by simple models. The application of this methodological approach is seen in a system for monitoring remote objects [1, 2], since the method allows easier and faster transformations (addition, subtraction, multiplication and division) of the values of the measured angular widths with respect to: the reference direction and the relative value of angle covers between multiple detected objects.

A Fast Algorithm for Motion and Disparity Estimation Based on the Reference Directions of Neighboring Macroblocks

As for JMVC (Joint Multi-view Video Coding), when executing motion and disparity estimation simultaneously, the implicit correlation of reference directions between current and neighboring macroblocks is neglected, and this will lead to useless searching. To reduce this redundancy, we propose an estimation algorithm which sets search ranges properly by exploiting the mentioned correlation. The proposed algorithm first gets the reference directions of macroblocks in the left, top and top right direction of current macroblock, and compares them with current reference direction, then sets search ranges by the comparison results, executes motion and disparity estimation in the new ranges at last. Experimental results show that the proposed algorithm can save 28.98%- 46.30% of coding time without degradation of coding quality comparing to JMVC.