An Initial Dot Encoding Scheme with Significantly Improved Robustness and Numbers

Coded mark point, as an important part of automatic matching, is widely used in stereo vision and photogrammetry. An encoding scheme named the Initial Dot encoding scheme, has been designed based on the programme of concentric rings, and which is able to solve restrictions on the number of codes and promote the stability of decoding. The designed coding pattern includes three functional points: locating point, start point and coded point. The maximum coding number of the Initial Dot scheme can reach 262,144 when the number of code bits is 18. The recognition experiments show that the Initial Dot encoding scheme can achieve 100% recognition rate at a 75 degree angle, which is very difficult for other coding schemes. By comparing experiments with the Schneider encoding scheme for a large flexible panel, the recognition rate of the proposed scheme is 99%, which is higher than the recognition rate of 90% of the Schneider scheme. The experimental results indicate that the Initial Dot encoding scheme can be successfully applied on flexible solar panels under a 1000 mm × 500 mm field of view.

[1]  Grzegorz Krolczyk,et al.  Surface quality and topographic inspection of variable compliance part after precise turning , 2018 .

[2]  Carl Thomas Schneider.  3D measurement by digital photogrammetry , 1993, Other Conferences.

[3]  Dai Xiao-lin.  A method for 3D scanning and reconstruction based on coded points , 2006 .

[4]  Wei Liu,et al.  Precision calibration method for binocular vision measurement systems based on arbitrary translations and 3D-connection information , 2016 .

[5]  杨剑 Yang Jian,et al.  Correcting error on recognition of coded points for photogrammetry , 2012 .

[6]  Cheng Guo,et al.  Exploitation of photogrammetry measurement system , 2010 .

[7]  Zhang Ka.  Research on Two Methods of Three Dimensional Coordinate Transformation and Their Comparision , 2008 .

[8]  Euan S. Harvey,et al.  Automatic recognition of coded targets based on a Hough transform and segment matching , 2003, IS&T/SPIE Electronic Imaging.

[9]  Lu Xiong,et al.  Visual Semantic Landmark-Based Robust Mapping and Localization for Autonomous Indoor Parking , 2019, Sensors.

[10]  Jibin Zhao,et al.  Global calibration of multi-cameras with non-overlapping fields of view based on photogrammetry and reconfigurable target , 2018 .

[11]  P. Drap,et al.  Photogrammetric Surveys and Geometric Processes to Analyse and Monitor Red Coral Colonies , 2018 .

[12]  Hirokazu Madokoro,et al.  Indoor Scene and Position Recognition Based on Visual Landmarks Obtained from Visual Saliency without Human Effect , 2019, Robotics.

[13]  Sung Joon Ahn,et al.  Circular Coded Target for Automation of Optical 3D-Measurement and Camera Calibration , 2001, Int. J. Pattern Recognit. Artif. Intell..

[14]  Xu Liu,et al.  An ellipse detection method for 3D head image fusion based on color-coded mark points , 2012 .

[15]  K. B. Atkinson.  Introduction to Modern Photogrammetry. , 2003 .

[16]  Andrew Lewis,et al.  Laser tracker error determination using a network measurement , 2011 .

[17]  Peter Avitabile,et al.  3D digital image correlation methods for full-field vibration measurement , 2011 .

[18]  Liu Xian-yong.  Research on coded reference point detection in photogrammetry , 2010 .

[19]  Clive S. Fraser,et al.  Automated Procedures with Coded Targets in Industrial Vision Metrology , 2002 .

[20]  Mingli Dong,et al.  Design of circular coded target and its application to optical 3D-measurement , 2008, International Symposium on Precision Mechanical Measurements.

[21]  Huaxia Deng,et al.  Measurement of Unmanned Aerial Vehicle Attitude Angles Based on a Single Captured Image , 2018, Sensors.

[22]  ChaBum Lee,et al.  A simple optical system for miniature spindle runout monitoring , 2017 .

[23]  Wei Liu,et al.  Accuracy improvement in laser stripe extraction for large-scale triangulation scanning measurement system , 2015 .