Abstract:
Existing methods of texture generation from registered images only work well on accurate models. For inaccurate models, texture drifts may occur. In this paper, we propos...View moreMetadata
Abstract:
Existing methods of texture generation from registered images only work well on accurate models. For inaccurate models, texture drifts may occur. In this paper, we propose a view-dependent seamless texture generation method for inaccurate models. Under a specific viewpoint, this method first assigns each mesh face with a label associated with a registered image to generate a primitive texture. Different from previous methods, our label assignment process is dependent on the current view direction to reduce projective displacements of texture due to imprecision of the geometry. Then, a gradient-domain editing method is used to eliminate seams between image segments. If more than one observation views are given, the seam-levelling method further ensures color consistency between views. Experiments show that our method endows more sense of reality to inaccurate models and succeeds in maintaining temporal color consistency throughout a pre-defined sequence of viewpoints.
Published in: 2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS)
Date of Conference: 24-26 May 2017
Date Added to IEEE Xplore: 29 June 2017
ISBN Information: