3D cognitive map construction by active stereo vision in a virtual world

Date

2004-10-29

Author

ULUSOY PARNAS, İLKAY
Halıcı, Uğur
Leblebicioğlu, Mehmet Kemal

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

57
views

0
downloads

In this study, a multi-scale phase based disparity algorithm is developed. This algorithm is then applied in a simulated world. In this world there is a virtual robot which has a stereo camera system simulated with the properties similar to human eyes and there are 3D virtual objects having predefined simple shapes. The virtual robot explores its environment intelligently based on some heuristics. Only stereo images rendered from the virtual world are supplied to the robot. The robot extracts depth information from the stereo images and when an object is seen, it investigates the object in detail and classifies the object from the estimated shapes of the object parts.

Subject Keywords

Feature point , Virtual world , Stereo image , Stereo vision , Stereo vision system

URI

https://hdl.handle.net/11511/41729

DOI

https://doi.org/10.1007/978-3-540-30182-0_41

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

Interactive Approaches to Multiple Criteria Sorting Problems: Entropy-Based Question Selection Methods Özarslan, Ali; Karakaya, Gülşah (2022-08-01) In this study, interactive approaches for sorting alternatives evaluated on multiple criteria are developed. The possible category ranges of alternatives are defined by mathematical models iteratively under the assumption that the preferences of the decision maker (DM) are consistent with an additive utility function. Simulation-based and model-based parameter generation methods are proposed to hypothetically assign the alternatives to categories. A practical approach to solve the incompatibility problem of...
Parallel computing in linear mixed models Gökalp Yavuz, Fulya (Springer Science and Business Media LLC, 2020-09-01) In this study, we propose a parallel programming method for linear mixed models (LMM) generated from big data. A commonly used algorithm, expectation maximization (EM), is preferred for its use of maximum likelihood estimations, as the estimations are stable and simple. However, EM has a high computation cost. In our proposed method, we use a divide and recombine to split the data into smaller subsets, running the algorithm steps in parallel on multiple local cores and combining the results. The proposed me...
A statistical approach to sparse multi-scale phase-based stereo Ulusoy, İlkay (Elsevier BV, 2007-09-01) In this study, a multi-scale phase based sparse disparity algorithm and a probabilistic model for matching uncertain phase are proposed. The features used are oriented edges extracted using steerable filters. Feature correspondences are estimated using phase-similarity at multiple scale using a magnitude weighting scheme. In order to achieve sub-pixel accuracy in disparity, we use a fine tuning procedure which employs the phase difference between corresponding feature points. We also derive a probabilistic ...
Hybrid ranking approaches based on data envelopment analysis and outranking relations Eryılmaz, Utkan; Karasakal, Esra; Department of Industrial Engineering (2006) In this study two different hybrid ranking approaches based on data envelopment analysis and outranking relations for ranking alternatives are proposed. Outranking relations are widely used in Multicriteria Decision Making (MCDM) for ranking the alternatives and appropriate in situations when we have limited information on the preference structure of the decision maker. Yet to apply these methods DM should provide exact values for method parameters (weights, thresholds etc.) as well as basic information suc...
Comparison of homogeneity tests for temperature using a simulation study Yozgatlıgil, Ceylan (Wiley, 2016-01-01) Homogeneity testing is one of the most important analyses in climate-related studies as it underpins the reliability of any inferences. The effects not directly related with climate are identified and removed from the meteorological variables, and then the obtained homogeneous variables are used to present an enhanced picture of the current situation and produce realistic forecasts based upon the variables. In this study, we investigate the performances of well-known homogeneity tests and introduce some tes...

Citation Formats

İ. ULUSOY PARNAS, U. Halıcı, and M. K. Leblebicioğlu, “3D cognitive map construction by active stereo vision in a virtual world,” 2004, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/41729.