Karl Apaza-Agüero

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This work proposes to improve a traditional 3D reconstruction pipeline by combining it with two techniques: A realtime 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)
This work presents a new data-driven progressive compression method of colored 3D meshes. The proposed method improves the visual quality of the progressive compression by using texture mapping. Additionally, a cubic cell complex is computed to drive the compression process in order to allow the intermediate meshes to share a common colored texture. The(More)
Using 3D printers for manufacturing objects has become an easy, low cost process in a variety of emerging applications, such as assistive technologies. To this end, it may be necessary to split the object in smaller parts, providing that they precisely connect. This work presents a framework to build objects with connecting parts, which is divided in main(More)
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