<div>Hi, </div>
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<div>I am looking for clarification on a topic published in the book "Insight into Images: Principles and Practice for Segmentation, Registration, and Image Analysis". I use it in conjunction with itk examples. (if the question is not relevant here, please advise).
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<div>From page 31, page 2.4.8, I quote: : "...Where the first derivative (gradient) is represented as a vector, the second derivative is a matrix, known as the Jacobian.."</div>
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<div>However, on page 249, Jacobian is presented as a matrix of first order partial derivatives.</div>
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<div>Even in all the literature I can find, the term 'Jacobian' is used to represent a matrix of first order partial derivatives. I did see 'Hessian' as a representation of 2nd order partial derivatives in a matrix form.
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<div>The question is: am I missing some information here (e.g. the terminology?), or the book on page 31 has a typo?</div>
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<div>Thank you for the help.</div>
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<div>[Pixel.to.life]</div>
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