'Relative maxima' presentation slideshows

Computer and Robot Vision I

Computer and Robot Vision I. Chapter 8 The Facet Model ppt.cc/C8SJx. Presented by: ?? b03202042@ntu.edu.tw ?? ?? : ??? ??. 8.0 Outline. 8.1 Introduction 8.2 Relative Maxima 8.3 Sloped Facet Parameter and Error Estimation 8.4 Facet-Based Peak Noise Removal 8.5 Iterated Facet Model

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Computer and Robot Vision I

Computer and Robot Vision I. Chapter 8 The Facet Model. Presented by: ??? & ??? 0911 246 313 r94922093@ntu.edu.tw ???? : ??? ??. 8.1 Introduction. facet model: image as continuum or piecewise continuous intensity surface

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Chapter 7 Functions of Several Variables

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Lecture 16

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Applications of the First Derivative

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Finding the Equation of the Tangent Line to a Curve

Finding the Equation of the Tangent Line to a Curve. Remember: Derivative=Slope of the Tangent Line. Review:. Review:. How do we find the equation of the tangent line to a curve?. What is the equation for the slope of the line tangent to the curve at point A using points A and B?.

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3.6 Finding the Equation of the Tangent Line to a Curve

3.6 Finding the Equation of the Tangent Line to a Curve. Remember: Derivative=Slope of the Tangent Line. What is another way to find the slope of this line?. The DERIVATIVE!!!!. What is another way to find the slope of this line?.

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Chapter 3 Section 3.2

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The Derivative in Graphing and Application

The Derivative in Graphing and Application. Let f be defined on an interval, and let x1 and x2 denote points in that interval. f is increasing on the interval if f(x1)<f(x2) whenever x1<x2 f is decreasing on the interval if f(x1)>f(x2) whenever x1<x2

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