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http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/6704| Title: | Shape Recipes: Scene Representations that Refer to the Image |
| Keywords: | AI scene representation shape stereo shape recipes |
| Issue Date: | 9-Oct-2013 |
| Description: | The goal of low-level vision is to estimate an underlying scene, given an observed image. Real-world scenes (e.g., albedos or shapes) can be very complex, conventionally requiring high dimensional representations which are hard to estimate and store. We propose a low-dimensional representation, called a scene recipe, that relies on the image itself to describe the complex scene configurations. Shape recipes are an example: these are the regression coefficients that predict the bandpassed shape from bandpassed image data. We describe the benefits of this representation, and show two uses illustrating their properties: (1) we improve stereo shape estimates by learning shape recipes at low resolution and applying them at full resolution; (2) Shape recipes implicitly contain information about lighting and materials and we use them for material segmentation. |
| URI: | http://koha.mediu.edu.my:8181/xmlui/handle/1721 |
| Other Identifiers: | AIM-2002-016 http://hdl.handle.net/1721.1/6704 |
| Appears in Collections: | MIT Items |
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