2011
DOI: 10.1007/s00371-011-0599-2
|View full text |Cite
|
Sign up to set email alerts
|

An evaluation of 3-D scene exploration using a multiperspective image framework

Abstract: Multiperspective images (MPIs) show more than what is visible from a single viewpoint and are a promising approach for alleviating the problem of occlusions. We present a comprehensive user study that investigates the effectiveness of MPIs for 3-D scene exploration. A total of 47 subjects performed searching, counting, and spatial orientation tasks using both conventional and multiperspective images. We use a flexible MPI framework that allows trading off disocclusion power for image simplicity. The framework … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
6
0
1

Year Published

2012
2012
2023
2023

Publication Types

Select...
4
1
1

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(7 citation statements)
references
References 43 publications
0
6
0
1
Order By: Relevance
“…Considering the above limitations, future research will focus on accelerating the framerates. We will achieve this by applying urban simplifications, such as the methods of Glander et al [15] and Zhang et al [8]. In future work, we will implement the transformation process directly in the GPU [27] to improve the framerate of our system.…”
Section: Discussionmentioning
confidence: 99%
See 3 more Smart Citations
“…Considering the above limitations, future research will focus on accelerating the framerates. We will achieve this by applying urban simplifications, such as the methods of Glander et al [15] and Zhang et al [8]. In future work, we will implement the transformation process directly in the GPU [27] to improve the framerate of our system.…”
Section: Discussionmentioning
confidence: 99%
“…The subjects' task is to match a route with a 2D map using the conventional perspective (CP) views, our 3D occlusion-free (OF) views, or the focus+context (FC) views, respectively, which is similar to the evaluation task presented by Rosen and Popescu [8]. Before the test, the subjects were shown the three types of views with no special technical instructions or suggestions and were given ten minutes to familiarize themselves with our system.…”
Section: User Studymentioning
confidence: 99%
See 2 more Smart Citations
“…Human is used to dig into data instead of an algorithm. Usage of human expertise for digging into data is underlined by Rosen & Popescu (2011). This paper presents an efficient way to count items in a maze; the most important part is to use a smart camera to explore several corridors in the same view.…”
Section: Visual Analyticsmentioning
confidence: 99%