Abstract | ||
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In order to cope with the enormous amount of 3-D Spatio-Temporal Image data we have proposed a method to transform 3-D Spatio-Temporal Image into 2-D Spatio-Temporal Images to reduce process- ing time for 3-D information acquisition. In this paper, we will extend the camera motion to enhance our previous method for building 3-D information acquisition from urban street images. The creation of 2-D Spatio-Temporal Image and the theoretical analysis of 3-D information acquisition will be given first in the paper, then based on the error analy- sis slit selection for 2-D Spatio-Temporal Image cre- ation will be discussed in the paper, experiments will reveal the accuracy and the efficacy of the approach. |
Year | Venue | Field |
---|---|---|
1998 | MVA | Computer vision,Pattern recognition,Information acquisition,Artificial intelligence,Mathematics |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
8 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Chunxiao Li | 1 | 4 | 3.94 |
Katsushi Ikeuchi | 2 | 4651 | 881.49 |
Masao Sakauchi | 3 | 688 | 149.27 |