| OCR Text |
Show 69 increment constrained The is functions In the univariate maxima: maxima at the bivariate constraint only happens These perpendicular there may be at corners occur maxima univariate update. Here the the boundary edges, If it on that crosses re-compute the univariate new guess now a and, new guess the in much it at then be crosses this one, a the In (but not where the it. Fv=fO. and gradient points outside region. The the same way of the stage crosses an is (du,dv) is edge, maximum the is the iteration is against clipped. of upon by the boundary against for as suspected. based and edge tested location current corner edge Fu=Fv=O. Fv4 ° or Fu_.,i::O (u+du,v+dv) re-tested must where edges where parameter formed function boundaries. =I=- 0 of "uphill" edge and points outside edge maximum an the the guess if and boundary clipping new f"<O, but maxima Fu kinds two and 0 functions. on edge and the an edge then where where the the at local maxima detected are case, to corner of boundary edges corner it maxima This Thirdly f'=O constraint strict are bivariate univariate effectively were the be is for edges where f'=/= outside there case than for case maxima where also gradient must there case might both). both optimization strict lead direction so. complicated more local There is this until (u,v) We then maximizing edge. other is edge. declared. This If |