Fast accessing Web3D contents using lightweight progressive meshes

Abstract

Accessing Web3D contents is relatively slow through Internet under limited bandwidth. Preprocessing of 3D models can certainly alleviate the problem, such as 3D compression and progressive meshes (PM). But none of them considers the similarity between components of a 3D model, so that we could take advantage of this to further improve the efficiency. This paper proposes a similarity-aware data reduction method together with PM, called lightweight progressive meshes (LPM). LPM aims to excavate similar components in a 3D model, generates PM representation of each component left after removing redundant components, and organizes all the processed data using a structure called lightweight scene graph. The proposed LPM possesses four significant advantages. First, it can minimize the file size of 3D model dramatically without almost any precision loss. Because of this, minimal data is delivered. Second, PM enables the delivery to be progressive, so called streaming. Third, when rendering at client side, due to lightweight scene graph, decompression is not necessary and instanced rendering is fully exerted. Fourth, it is extremely efficient and effective under very limited bandwidth, especially when delivering large 3D scenes. Performance on real data justifies the effectiveness of our LPM, which improves the state-of-the-art in accessing Web3D contents.

Automatic computation of 3D angle of pulmonary artery based on Web3D for preoperative planning in cardiac surgery

“…In lightweight transmission of 3D models in Web3D L.Wen. et al [4] presented a progressive mesh together with a lightweight method which removes similar or repetitive components in the shape to decrease the file size of the 3D model. Huang et al [5] proposed the mesh collapse method for the lightweight transform of the aortic vasculum to reduce the number of faces and vertices of the whole mesh.…”

“…A transformation matrix is adopted to represent the repetitive components. Wen et al [4] proposed pose normalization of components to obtain the transformation matrix of translation, scaling and symmetry. In this case we adopt this method.…”

Rendering Optimization for Mobile Web 3D Based on Animation Data Separation and On-Demand Loading

“…For browsers, Kai designed and implemented a 3D mesh model transmission technique using streaming compression on the Web through JavaScript and WebGL [18]. By using the similarity of 3D models, the data reduction method of component similarity in the model is performed, and all the processed data are organized using the structure of the lightweight scene graph to increase the efficiency of the model transmission and loading process [19]. For network transmission, a new container file format is proposed to address the shortcomings of HTTP request data.…”