We present a legorization framework that produces a LEGO model from a voxel model. Unlike other frameworks, we include bricks whose height is more than one layer. Furthermore, we devise a two-colored graph that represents the adjacency and stability information of a LEGO model. Our legorization is composed of tiling process on each layer, which is implemented using a heuristic search algorithm. We legorize five models including characters and buildings to prove the excellence of out framework

Low-resolution voxel models are widely used in many computer games such as CrossyRoadTM and MinecraftTM and in many block games such as LegoTM. We present a multi-scale voxelization algorithm that abstracts a complex polygonal model to a low-resolution voxel model. Our scheme is distinguished from other voxelization schemes in the point that our scheme controls the level of abstraction according to the complexity of the model. We present a two-stage algorithm: in the first stage, we build a rough voxel model, which is carved to fit the target model in the second stage. We empoly an OpenGL-based slicing algorithm to build a rough model, which is constructed in twofolds. The exterior and interior of the model is constructed separately and merged to complete the rough model. In the second stage, we compute the silhouette of the input model and carve the rough model to improve the completeness of the final result. We test our algorithm for various polygonal models including famous animation character models to prove the excellency of our scheme.

The computation of saliency from an image and a video is an interesting challenge in image processing and computer vision. Context-aware saliency, which addresses the saliency based on the geometric structure of an image, is known as one of the most powerful schemes for computing saliency. An obstacle of the context-aware scheme is the heavy computation load. We reduce the computational load in a great scale by applying the dart throwing algorithm, which is a widely used stochastic noise generation scheme in computer graphics society.