Edge-Aware Stereo Matching with O(1) Complexity

2012-01-26
Cigla, Cevahir
Alatan, Abdullah Aydın
In this paper, a novel local stereo matching algorithm is introduced, providing precise disparity maps with low computational complexity. Following the common steps of local matching methods, namely cost calculation, aggregation, minimization and occlusion handling; the time consuming intensity dependent aggregation procedure is improved in terms of both speed and precision. For this purpose, a novel approach, denoted as permeability filtering (PF), is introduced, engaging computationally efficient two pass integration approach by weighted and connected support regions. The proposed approach exploits a new paradigm, separable successive weighted summation (SWS), among horizontal and vertical directions enabling constant operational complexity for adaptive filtering, as well as providing connected 2D support regions. Once aggregation of the cost values for each disparity candidate is performed independently, minimization is achieved by winner-take-all approach. The same procedure is also utilized to diffuse information through overlapped pixels during occlusion handling, after detecting unreliable disparity assignments. According to the experimental results on Middlebury stereo benchmark, the proposed method outperforms the state-of-the-art local methods in terms of precision and computational efficiency through unifying constant time filtering and weighted aggregation.

Suggestions

Information permeability for stereo matching
Cigla, Cevahir; Alatan, Abdullah Aydın (Elsevier BV, 2013-10-01)
A novel local stereo matching algorithm is introduced to address the fundamental challenge of stereo algorithms, accuracy and computational complexity dilemma. The time consuming intensity dependent aggregation procedure of local methods is improved in terms of both speed and precision. Providing connected 2D support regions, the proposed approach exploits a new paradigm, namely separable successive weighted summation (SWS) among horizontal and vertical directions enabling constant operational complexity. T...
Feature extraction from acoustic and hyperspectral data by 2d local discriminant bases search
Kalkan, Habil; Kalkan, Habil; Department of Information Systems (2008)
In this thesis, a feature extraction algorithm based on 2D Local Discriminant Bases (LDB) search is developed for acoustic and hyperspectral data. The developed algorithm extracts the relevant features by both eliminating the irrelevant ones and/or by merging the ones that do not provide extra information on their own. It is implemented on real world data to separate aflatoxin contaminated or high risk hazelnuts from the sound ones by using impact acoustic and hyperspectral data. Impact acoustics data is us...
Inverse design of compressor cascades
Kaplan, B.; Eyi, Sinan (2001-12-01)
In this paper an inverse design method is presented which couples a Navier-Stokes flow solver and a numerical optimization algorithm. The design method generates a compressor cascade, producing a specified surface pressure distribution at a transonic speed. A least-square optimization technique is used to minimize pressure discrepancies between the target and designed cascades. In order to represent the nonlinear, rotational and viscous physics of transonic flows, Navier-Stokes equations are used to predict...
Camera trajectory estimation for indoor robot odometry using stereo images and inertial measurements
Horasan, Anıl; Aksel, Mehmet Haluk; Department of Mechanical Engineering (2016)
In this study, the development and implementation of an algorithm for stereo visual-inertial odometry are described. The study spans the complete process from analyzing the sensory data to the development of a robot odometry algorithm. The criteria for indoor visual-inertial odometry include using low-cost sensor systems, having an error less than five percent of the movement regardless of the distance covered, and building a robust algorithm in the presence of geometric and photometric invariances as well ...
Efficient Surface Integral Equation Methods for the Analysis of Complex Metamaterial Structures
Yla-Oijala, Pasi; Ergül, Özgür Salih; Gurel, Levent; Taskinen, Matti (2009-03-27)
Two approaches, the multilevel fast multipole algorithm with sparse approximate inverse preconditioner and the surface equivalence principle algorithm, are applied to analyze complex three-dimensional metamaterial structures. The efficiency and performance of these methods are studied and discussed.
Citation Formats
C. Cigla and A. A. Alatan, “Edge-Aware Stereo Matching with O(1) Complexity,” 2012, vol. 8290, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/36622.