Karl Apaza-Agüero

Learn More
This work proposes to improve a traditional 3D reconstruction pipeline by combining it with two techniques: A real-time 3D modelling system to give a visual feedback in acquisition stage; and a super-resolution spatio-temporal filter to improve the depth data. We use noisy RGBD images from an inaccurate real-time depth sensor device in the whole process and(More)
This work presents a new component of a complete pipeline for 3D digital preservation of cultural heritage. We propose a method for parameterizing and preserving the appearance of simplified models. The method automatically preserves the appearance, passing surface properties such as normals or colors from a high-resolution model to its simplified version.(More)
  • 1