New designs are often based off real object references, mockups or massing models for selecting viewpoints and rough shapes.
A process from professional practice for communicating solution concepts with a blend of computer and handcrafted renderings . Homogeneous areas, such as walls of a corridor, repeated texture, and areas with view-dependent intensities create challenges for these methods.ģD drawings for urban planning and industrial design. For general, complex scenes with various kinds of objects and surface properties, this approach has shown most promise towards obtaining an accurate and dense 3D model of a given scene. Dense multi-view stereo produces detailed 3D reconstructions of objects imaged under controlled conditions by a large number of precisely calibrated cameras . This limits their applicability, especially in man-made environments and objects such as cars , non-Lambertian surfaces such as that of the sea, appearance variation due to changing weather , and wide baseline .Īnother approach matches intensity patterns across views using multiview stereo, producing denser point clouds or mesh reconstructions.
Despite their manifest usefulness, these methods generally cannot represent smooth, textureless regions (due to the sparsity of interest points in image regions with homogeneous appearance), or regions that change appearance drastically across views. The interest-point-based approach has been highly successful in reconstructing large-scale scenes with texture-rich images, in systems such as in Phototourism and recent large-scale 3D reconstruction work .
The 3D model is available as supplementary data.) (Color figure online)Ī vast majority of multiview reconstruction methods rely on correlating isolated interest points across views to produce an unorganized 3D cloud of points. Each curve is shown in a different color. Our approach transforms calibrated views of a scene into a “3D drawing” – a graph of 3D curves meeting at junctions. We evaluate our results against truth on synthetic and real datasets. This results in a 3D drawing, which is complementary to surface representations in the same sense as a 3D scaffold complements a tent taut over it. This paper presents a step in this direction by formulating an approach that combines 2D image curves into a collection of 3D curves, with topological connectivity between them represented as a 3D graph. Ideally, many applications require structured representations of curves, surfaces and their spatial relationships. In the general setting – without controlled acquisition, abundant texture, curves and surfaces following specific models or limiting scene complexity – most methods produce unorganized point clouds, meshes, or voxel representations, with some exceptions producing unorganized clouds of 3D curve fragments. Reconstructing 3D scenes from multiple views has made impressive strides in recent years, chiefly by correlating isolated feature points, intensity patterns, or curvilinear structures.