Improving object transparent vision using enhanced image selection

J. Judvaitis; I. Homjakovs; R. Cacurs; K. Nesenbergs; A. Hermanis; K. Sudars

doi:10.3103/S014641161506005X

Improving object transparent vision using enhanced image selection

J. Judvaitis^*
, I. Homjakovs
, R. Cacurs
, K. Nesenbergs
, A. Hermanis
, K. Sudars

^*Corresponding author for this work

Institute of Electronics and Computer Science

Research output: Contribution to journal › Article › peer-review

Abstract

In this paper we try to improve object transparent vision. Our goal is to see how object transparent vision can be improved by: 1. Automated fused image correctness check. 2. Finding correct images for image fusing. We also conducted several experiments related to object transparent vision in order to gain better understanding of subject. The introduced improvements in the paper can provide reasonable result for image fusion for most of the analyzed cases.

Original language	English
Pages (from-to)	380-389
Number of pages	10
Journal	Automatic Control and Computer Sciences
Volume	49
Issue number	6
DOIs	https://doi.org/10.3103/S014641161506005X
Publication status	Published - 1 Nov 2015
Externally published	Yes

OECD Field of Science

1.2 Computer and Information Sciences

Keywords

transparent car
transparent real objects
virtual reality

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10.3103/S014641161506005X

Cite this

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abstract = "In this paper we try to improve object transparent vision. Our goal is to see how object transparent vision can be improved by: 1. Automated fused image correctness check. 2. Finding correct images for image fusing. We also conducted several experiments related to object transparent vision in order to gain better understanding of subject. The introduced improvements in the paper can provide reasonable result for image fusion for most of the analyzed cases.",

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AU - Cacurs, R.

AU - Nesenbergs, K.

AU - Hermanis, A.

AU - Sudars, K.

PY - 2015/11/1

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N2 - In this paper we try to improve object transparent vision. Our goal is to see how object transparent vision can be improved by: 1. Automated fused image correctness check. 2. Finding correct images for image fusing. We also conducted several experiments related to object transparent vision in order to gain better understanding of subject. The introduced improvements in the paper can provide reasonable result for image fusion for most of the analyzed cases.

AB - In this paper we try to improve object transparent vision. Our goal is to see how object transparent vision can be improved by: 1. Automated fused image correctness check. 2. Finding correct images for image fusing. We also conducted several experiments related to object transparent vision in order to gain better understanding of subject. The introduced improvements in the paper can provide reasonable result for image fusion for most of the analyzed cases.

KW - transparent car

KW - transparent real objects

KW - virtual reality

UR - https://www.scopus.com/pages/publications/84953272418

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DO - 10.3103/S014641161506005X

M3 - Article

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Improving object transparent vision using enhanced image selection

Abstract

OECD Field of Science

Keywords

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