Shape partitioning by convexity

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Shape Partitioning by Convexity

The partitioning of 2D shapes into subparts is an important component of shape analysis. This paper de nes a formulation of convexity as a criterion of good part decomposition. It's appropriateness is validated by applying it to some simple shapes as well as against showing its close correspondence with Ho man and Singh's part saliency factors.

متن کامل

Convexity Shape Prior for Segmentation

Convexity is known as an important cue in human vision. We propose shape convexity as a new high-order regularization constraint for binary image segmentation. In the context of discrete optimization, object convexity is represented as a sum of 3-clique potentials penalizing any 1-0-1 configuration on all straight lines. We show that these non-submodular interactions can be efficiently optimize...

متن کامل

Uses of Convexity in Numerical Domain Partitioning

We study the diierent manifestations of convexity in classiier-constructing machine learning algorithms. Two principal ways to apply the consequences of the convexity of the evaluation function to enhance numerical domain partitioning exist: it enables static and dynamic pruning of partition candidates. Numerical attribute handling is a potential time-consumption bottleneck in classiier learnin...

متن کامل

On difference sequence spaces defined by Orlicz functions without convexity

In this paper, we first define spaces of single difference sequences defined by a sequence of Orlicz functions without convexity and investigate their properties. Then we extend this idea to spaces of double sequences and present a new matrix theoretic approach construction of such double sequence spaces.  

متن کامل

Multilevel Mesh Partitioning for Optimizing Domain Shape

Multilevel algorithms are a successful class of optimisation techniques which address the mesh partitioning problem. They usually combine a graph contraction algorithm together with a local optimisation method which refines the partition at each graph level. To date these algorithms have been used almost exclusively to minimise the cut-edge weight in the graph with the aim of minimising the par...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans

سال: 2000

ISSN: 1083-4427

DOI: 10.1109/3468.833102