GRCVFeb 22, 2016

Creating Simplified 3D Models with High Quality Textures

arXiv:1602.06645v18 citations
Originality Incremental advance
AI Analysis

This work addresses the need for efficient 3D modeling with high-quality textures in applications like scanning and visualization, but it is incremental as it builds on existing KinectFusion technology.

The paper tackles the problem of creating simplified 3D models with high-quality textures by extending the KinectFusion algorithm, achieving real-time implementation and maintaining texture quality even in heavily decimated models, with experimental results showing photorealistic RGB textures for small objects.

This paper presents an extension to the KinectFusion algorithm which allows creating simplified 3D models with high quality RGB textures. This is achieved through (i) creating model textures using images from an HD RGB camera that is calibrated with Kinect depth camera, (ii) using a modified scheme to update model textures in an asymmetrical colour volume that contains a higher number of voxels than that of the geometry volume, (iii) simplifying dense polygon mesh model using quadric-based mesh decimation algorithm, and (iv) creating and mapping 2D textures to every polygon in the output 3D model. The proposed method is implemented in real-time by means of GPU parallel processing. Visualization via ray casting of both geometry and colour volumes provides users with a real-time feedback of the currently scanned 3D model. Experimental results show that the proposed method is capable of keeping the model texture quality even for a heavily decimated model and that, when reconstructing small objects, photorealistic RGB textures can still be reconstructed.

Foundations

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