A new data representation of image-based objects is presented. With this representation, the user can change the illumination as well as the viewpoint of an image-based scene. Physically correct imagery can be generated without knowing any geometrical information (e.g. depth or surface normal) of th
Object-based illumination classification
β Scribed by H.Z. Hel-Or; B.A. Wandell
- Publisher
- Elsevier Science
- Year
- 2002
- Tongue
- English
- Weight
- 386 KB
- Volume
- 35
- Category
- Article
- ISSN
- 0031-3203
No coin nor oath required. For personal study only.
β¦ Synopsis
Estimation of scene illumination from a single image or an image sequence has been widely studied in computer vision. The approach presented in this paper, introduces two new issues: (1) illumination classiΓΏcation is performed rather than illumination estimation; (2) an object-based approach is used for illumination evaluation. Thus, pixels associated with an object are considered in the illumination estimation process using the object's spectral characteristics. Simulation and real image experiments, show that the object-based approach indeed improves performance over standard illumination classiΓΏcation.
π SIMILAR VOLUMES
A common challenge in remote sensing is the classification of objects that are spectrally similar but represent physically different types of ground cover. In this paper, we describe and apply three complementary shape measures to classify morphologically different waterbodies in a Landsat image. Im
With huge amounts of multimedia information connected to the global information network (Internet), efficient and effective image retrieval from large image and video repositories has become an imminent research issue. This article presents our research in the C-BIRD (content-based image retrieval i
## Abstract Comparing colour histograms of images has been shown to be a powerful technique for discriminating among large sets of images. However, these histograms depend not only on the properties of imaged objects but also on the illumination under which the objects are captured. If this illumin