Graphics and vision have complementary goals. A central goal of graphics is to generate realistic images of a scene, given a description of the scene. Conversely, the goal of vision is to describe a scene, give a set of real images of the scene. Progress in both fields is closely tied to our ability to model classes of scenes and to use these models efficiently in the synthesis and analysis of images. A “model” is defined, in general, as a constraint on the set of possible scenes; this paper briefly discusses, on a qualitative level, some major classes of models.

In this paper, a reference model aiming to contribute to the discussion and formalization of the issues related to the integration of Computer Graphics (CG), Image Processing (IP), and Computer Vision (CV) is proposed. This model takes into account that CG, IP, and CV are overlapping areas, and that CG and CV have inverse objectives. Regarding existing and forthcoming standards, the proposed model addresses the problems of data representation, data reduction, and communication. The model is based on three main issues: abstraction of data into layers, user dialog, and information interchange. It fulfills the requirements from various application areas including multimedia.

Models: the graphics-vision interface

Citations

Towards a visual computing and communication reference model

Related Papers (5)

Basic level scene understanding: from labels to structure and beyond

3D-Aware Scene Change Captioning From Multiview Images

Indoor Scene Change Captioning Based on Multimodality Data.

Large scale scene matching for graphics and vision

Language-driven synthesis of 3D scenes from scene databases