Template:Feature detection (computer vision) navbox

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| title = Feature detection | image = | caption = | contentclass = hlist

| heading1 = Edge detection | content1 =

• Canny
• Deriche
• Differential
• Sobel
• Prewitt
• Roberts cross

| heading3 = Corner detection | content3 =

• Harris operator
• Shi and Tomasi
• Level curve curvature
• Hessian feature strength measures
• SUSAN
• FAST

| heading4 = Blob detection | content4 =

• Laplacian of Gaussian (LoG)
• Difference of Gaussians (DoG)
• Determinant of Hessian (DoH)
• Maximally stable extremal regions
• PCBR

| heading5 = Ridge detection

| heading6 = Hough transform

| heading7 = Structure tensor

| heading8 = Affine invariant feature detection | content8 =

• Affine shape adaptation
• Harris affine
• Hessian affine

| heading9 = Feature description | content9 =

• SIFT
• SURF
• GLOH
• HOG

| heading10 = Scale space | content10 =

• Scale-space axioms
• [[Axiomatic theory of receptive fields]
• Implementation details
• Pyramids

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