000			01810cam a22004094a 4500
001			200441076
003			TR-AnTOB
005			20260107154209.0
008			110927s2012 maua 000 0 eng
010			_a2011036341
015			_aGBB158712 _2bnb
020			_a9780136085928
020			_a013608592X
020			_a9780273764144
020			_a0273764144
035			_a(OCoLC)751787157
040			_aDLC _beng _cDLC _dUKMGB _dIG# _dYDXCP _dBWX _dCDX _dCOO _dBDX _dPUL _dCUS _dMUU _dOCLCF _dMEAUC _dIEDUB _dOCLCQ _dSTF _dTR-AnTOB _erda
041	0		_aeng
042			_apcc
050	0	0	_aTA1634 _b.F65 2012
090			_aTA1634 _b.F65 2012
100			_aForsyth, David _92453
245	1	0	_aComputer vision : _ba modern approach / _cDavid A. Forsyth, Jean Ponce.
250			_a2nd ed
264		1	_aBoston : _bPearson, _c2012.
300			_a1 volume : _billustrations ; _c26 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
505	0		_a1. Geometric Camera Models -- 2. Light and Shading -- 3. Color -- 4. Linear Filters -- 5. Local Image Features -- 6. Texture -- 7. Stereopsis -- 8. Structure from Motion -- 9. Segmentation by Clustering -- 10. Grouping and Model Fitting -- 11. Tracking -- 12. Registration -- 13. Smooth Surfaces and Their Outlines -- 14. Range Data -- 15. Learning to Classify -- 16. Classifying Images -- 17. Detecting Objects in Images -- 18. Topics in Object Recognition -- 19. Image -Based Modeling and Rendering -- 20. Looking at People -- 21. Image Search and Retrieval -- 22. Optimization Techniques
650		0	_aComputer vision _92455
650		0	_aComputer vision _vProblems, exercises, etc. _92456
700			_aPonce, Jean _92454
942			_2lcc _cBK
999			_c200441076 _d59288