Matching of complex patterns by energy minimization
نویسندگان
چکیده
منابع مشابه
Matching of complex patterns by energy minimization
Two patterns are matched by putting one on top of the other and iteratively moving their individual parts until most of their corresponding parts are aligned. An energy function and a neighborhood of influence are defined for each iteration. Initially, a large neighborhood is used such that the movements result in global features being coarsely aligned. The neighborhood size is gradually reduce...
متن کاملStereo Matching by Joint Energy Minimization
In [7], Mozerov et al. propose to perform stereo matching as a twostep energy minimization problem. They formulate cost filtering as a local energy minimization model, and solve the fully connected MRF model and the locally connected MRF model sequentially. In this paper we intend to combine the two steps of energy minimization in order to improve stereo matching results. We propose to jointly ...
متن کاملGeodesic Image Matching: A Wavelet Based Energy Minimization Scheme
In this paper, we first detail the geodesic matching of images which consists in minimizing an energy resulting from a Riemannian metric on a manifold of images, which itself comes from the projection of a Riemannian metric on a deformation group onto the image manifold. We will then present an energy minimization technique based on a wavelet analysis of the deformation and finally some applica...
متن کاملFast global stereo matching via energy pyramid minimization
We define a global matching framework based on energy pyramid, the Global Matching via Energy Pyramid (GM-EP) algorithm, which estimates the disparity map from a single stereo-pair by solving an energy minimization problem. We efficiently address this minimization by globally optimizing a coarse to fine sequence of sparse Conditional Random Fields (CRF) directly defined on the energy. This glob...
متن کاملConfidence-Based Surface Prior for Energy-Minimization Stereo Matching
This paper presents a novel confidence-based surface prior for energy minimization formulations of dense stereo matching. Given a dense disparity estimation we fit planes, in disparity space, to regions of the image. For each pixel, the probability of its depth lying on an object plane is modeled as a Gaussian distribution, whose variance is determined using the confidence from a previous match...
متن کاملذخیره 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 B (Cybernetics)
سال: 1998
ISSN: 1083-4419
DOI: 10.1109/3477.718520