[Home][11. Auto Part Recognition]
11. Auto Part Recognition
Click menu item “Example/Special Example/Wheel Recognition”; then click “Batch/Run”, this chapter is done. Now, we will walk through the Auto Part Recognition example.
Auto Parts consist of products like wheel rims, doors, bumpers, converters, ... There are more than 70,000 wheel rim designs, more than 200 bumpers, ... In any given month, about 1,500 types of wheel rims are used. It is hard for a human eye to identify each wheel rim, bumper, and other car parts.
This chapter attempts to solve a particular problem: given a wheel rim, identify what it is.
Chapter contents include:
11.1 Why Wheel Rim Identification?
11.2 Data
11.3 Parameters
11.4 Signature
11.5 Training
11.6 Matching
11.7 Analysis
[Home][About][1. Introduction][2. Overview][3. GUI][4. Image Signatures][5. Unsupervised Filters][6. Results & Analysis][7. BioFilters][8. NeuralFilters][9. Duplicated Documents][10. Face Recognition][11. Auto Part Recognition][12. Dynamic Library][13. NeuralNet Filter][14. Segment Variation][15. TV Advertisements][16. Counting & Tracking][17. Image PreProcessing][18. Image Processing][19. Batch Job][20. Parameters][21. Input Option][22. Application Developers][23. Reference Manual][24. Support Services][25. Readme.txt]
Copyright (c) 1998 - 2006 Attrasoft, Inc. All rights reserved.