Citation Context

...ound truth and are making both the code and data sets available on the Web. Finally, we include a comparative evaluation of a large set of today’s best-performing stereo algorithms. 1. Introduction Stereo correspondence has traditionally been, and continues to be, one of the most heavily investigated topics in computer vision. However, it is sometimes hard to gauge progress in the field, as most researchers only report qualitative results on the performance of their algorithms. Furthermore, a survey of stereo methods is long overdue, with the last exhaustive surveys dating back about a decade [7, 37, 25]. This paper provides an update on the state of the art in the field, with particular emphasis on stereo methods that (1) operate on two frames under known camera geometry, and (2) produce a dense disparity map, i.e., a disparity estimate at each pixel. Our goals are two-fold: 1. To provide a taxonomy of existing stereo algorithms that allows the dissection and comparison of individual algorithm components design decisions; 2. To provide a test bed for the quantitative evaluation of stereo algorithms. Towards this end, we are placing sample implementations of correspondence algorithms along wi...

Citation Context

...lisher Item Identifier S 0278-0062(97)02397-5. 0278–0062/97$10.00 © 1997 IEEE obtained from positron emission tomography (PET) images, etc. The bulk of registration algorithms in medical imaging (see =-=[3]-=-, [16], and [23] for an overview) can be classified as being either frame based, point landmark based, surface based, or voxel based. Stereotactic frame-based registration is very accurate, but inconv...

Citation Context

...velopment and growing amount and diversity of obtained images invoked the research on automatic image registration. A comprehensive survey of image registration methods was published in 1992 by Brown =-=[26]-=-. The intention of our article is to cover relevant approaches introduced later and in this way map the current development of registration techniques. According to the database of the Institute of Sc...

Citation Context

...ame object need to be brought into correspondence. Remote sensing and biomedical imaging are typical application areas. Due to the recurrent problem of registration, many solutions have been proposed =-=[1]-=-–[3]. Our specific interest is the detection of significant differences between biomedical images obtained from different subjects, or from the same subject at different times. In particular, this req...

Citation Context

...ften be performed using low-dimensional spatial transformations such as similarity, affine, or projective transformations. This estimation problem has been well-studied, and several excellent surveys =-=[27]-=-, [28], [29], [30], and software implementations (e.g., the Insight toolkit [31]) are available, so we do not detail registration algorithms here. Rather, we note some of the issues that are important...

Citation Context

...ameters for one of three models listed in Table 1. The complexity of motion estimation largely depends on the model used. A large number of approaches have been proposed to solve this problem [10][11]=-=[12]-=-. To locate human faces, facial features, such as the eyes, nose and mouth, are natural candidates. But these features maychange from time to time. Occlusion and non-rigidity are basic problems with ...

Citation Context

...becomes similar to the reference image. Image registration has to be applied whenever images resulting from different times, devices, and/or perspectives need to be compared or integrated; see, e.g., =-=[6, 19]-=- and references therein. The computation of nonrigid image registration has two main building blocks. The first one is a distance measure D quantifying distance or similarity of images, and the second...