Multi-Modal Matching Applied to Stereo
نویسندگان
چکیده
We introduce a compact coding of image information which explicitly separates visual information into geometric information (orientation) and structural information (phase and colour) and temporal information (optic flow). We investigate the importance of these visual attributes for stereo matching on a large data set. From these investigation we can conclude that it is the combination of different attributes that gives the best results. Concrete weights for the relative importance of different visual attributes are statistically determined.
منابع مشابه
Multi-modal Primitives as Functional Models of Hyper-columns and Their Use for Contextual Integration
In this paper, we describe a biological motivated image representation in terms of local multi–modal primitives. These primitives are functional abstractions of hypercolumns in V1 [13]. The efficient and generic coding of visual information in terms of local symbolic descriptiones allows for a wide range of applications. For example, they have been used to investigate the multi–modal character ...
متن کاملGrouping Over Stereo for Visual Cues Disambiguation
In stereo–vision, the goal is to reconstruct the three–dimensional structure of the scene observed from two camera inputs. The core problems are the matching of features into both camera frames, and the interpretation of image features in terms of the 3D scene. In this paper, we use a rating scheme of the potential correspondences, based on the multi–modal intrinsic similarity of the features. ...
متن کاملAn iterative Bayesian technique for Dense Image Point Matching
We present a conceptually simple algorithm for dense image point matching between two multi-modal (e.g. color) images. The algorithm is based on the assumption that correct image point matches satisfy locally a particular statistical distribution. Through an iterative evaluation of a local probability measure, global constraints are taken into account and the most likely set of image point matc...
متن کاملOptimizing Disparity Candidates Space in Dense Stereo Matching
In this paper, a new approach for optimizing disparity candidates space is proposed for the solution of dense stereo matching problem. The main objectives of this approachare the reduction of average number of disparity candidates per pixel with low computational cost and high assurance of retaining the correct answer. These can be realized due to the effective use of multiple radial windows, i...
متن کاملAn explicit and compact coding of geometric and structural image information applied to stereo processing
We introduce a compact coding of image information in terms of local multi-modal image descriptors. This coding allows for an explicit separation of the local image information into different visual sub-modalities: geometric information (orientation) and structural image information (contrast transition and colour). Based on this image representation, we derive a similarity function that compar...
متن کامل