  Using (casual) images to texture 3D models is a common way to create
realistic 3D models, which is a very important task in computer graphics.
However, if the shape of the casual image does not look like the target model
or the target mapping area, the textured model will become strange since the
image will be distorted very much. In this paper, we present a novel texturing
and deforming approach for mapping the pattern and shape of a casual image to a
3D model at the same time based on an alternating least-square approach.
Through a photogrammetric method, we project the target model onto the source
image according to the estimated camera model. Then, the target model is
deformed according to the shape of the source image using a surface-based
deformation method while minimizing the image distortion simultaneously. The
processes are performed iteratively until convergence. Hence, our method can
achieve texture mapping, shape deformation, and detail-preserving at once, and
can obtain more reasonable texture mapped results than traditional methods.
