Indiana University-Purdue University Indianapolis (IUPUI) / Image is a dominant medium among video, 3D model, and other media for visualizing environment and
creating virtual access on the Internet. The location of image capture is, however, subjective and has
relied on the esthetic sense of photographers up until this point. In this paper, we will not only visualize
areas with images, but also propose a general framework to determine where the most distinct viewpoints
should be located. Starting from elevation data, we present spatial and content information in
ground-based images such that (1) a given number of images can have maximum coverage on informative
scenes; (2) a set of key views can be selected with certain continuity for representing the most distinct
views. According to the scene visibility, continuity, and data redundancy, we evaluate viewpoints
numerically with an object-emitting illumination model. Our key view exploration may eventually
reduce the visual data to transmit, facilitate image acquisition, indexing and interaction, and enhance
perception of spaces. Real sample images are captured based on planned positions to form a visual network
to index the area.
| Identifer | oai:union.ndltd.org:IUPUI/oai:scholarworks.iupui.edu:1805/2128 |
| Date | 08 1900 |
| Creators | Cai, Hongyuan |
| Contributors | Zheng, Jiang Yu, Fang, Shiaofen, Tuceryan, Mihran |
| Publisher | Elsevier |
| Source Sets | Indiana University-Purdue University Indianapolis |
| Language | en_US |
| Detected Language | English |
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