Studyand Implementation Of Texture Reconstruction On3D Human Model In Burn Area Estimate System

In the therapeutic process of the burn patients, a critical step is to evaluate the degree of burns.It will even determines the quality of life of patients directly. The extent of burns is the main basisfor the degree of burns. Timely and precise calculation of the extent of burns is the foundation togive the first aid and determine the amount of infusion to the patient. And it also plays a major partin the choice of the surgery procedures and the determination of the further treatment.For this reason, it is necessary to research an efficient and fast method to calculate the extentof burns. To this end, the research project proposed to develop a digital automatic system forevaluating the burns of patients and provide reliable basis for the treatment. The implementationprocess of the system mainly includes the following four steps: data acquisition, the registration ofthe3D model, texture reconstruction and the calculation of the extent of burns.This article mainly studies the part of the texture reconstruction. Texture mapping is a goodmethod to display the surface detail of a three-dimensional model without increasing thecomplexity of the model, and it can improve the visual effect of the model and provide basis forthe subsequent work on the precise calculation of the extent of burns. But the traditional texturereconstruction technique is not applicable to the3D human model based on closed triangular meshin our system because of the distortion. It can not guarantee the accuracy calculation of the extentof burns. So, this article presents a texture reconstruction method suitable for human model. The3D model of a human is obtained from construction by the3D discrete and featured point data inphysical space coordinate system, which are obtained from the3D scanner Kinect. First, the3Dmodel is divided, and then using the least squares conformal mapping to parameterize each pieceof the surface to a two-dimensional plane, at the same time control the deformation. Then we getthe texture coordinate of each three-dimensional vertex through the establishment of therelationship of a two-dimensional coordinate system and the texture coordinates, and thus complete the texture mapping and get the3D human model with real texture information.The method proposed in this paper can overcome the weakness in traditional texture mappingmethod, such as these methods can not apply to complex three dimensional human model, and itexists a large deformation, difficult to control and the result of texture is not realistic. Our methodis faster and more stable than three-dimensional color scanning, and the requirements to theenvironment is lower than3D color scanning. So it can reduce the pain in the process of scanning.In the process of implementation, we use a plane parameterization based on conformal mapping,the use of plane and conformal parameterization and then calculate the optimal transformationusing the least squares method can reduce the deformation effectively. The user is allowed tointeract with the system to select some constraint points corresponding the model on the screen.The method will use these constraint points to compute the transformation relation. So this methodcan be used in local texture mapping.Finally, the paper summarized the method of texture reconstruction used in this paper, gavethe related experimental results and analysis, and the further research work in future wasprospected.