Style-sensitive 3D model retrieval through sketch-based queries
Style-sensitive 3D model retrieval through sketch-based queries
复制标题
通过基于草图的查询进行风格敏感的 3D 模型检索
DOI：
10.3233/jifs-169104
复制
发表时间：
2016-01-01
影响因子：
2
通讯作者：
Lv, Zhihan
中科院分区：
文献类型：
--
作者：
Cao, Bin;Kang, Yang;Lv, Zhihan
传统的基于草图的 3D 模型检索方法是基于内容的，通过对手绘图和 3D 模型候选之间的几何相似度进行排名来返回搜索结果。这些传统方法没有考虑个人绘画特征和风格（简称风格），而这些特征和风格在用户的草图查询中是显而易见且重要的。普通用户想必不是专业且熟练的艺术家。因此，用户在绘制3D模型时可能会引入个人绘画风格，而不是忠实地根据模型的几何透视来渲染模型。对于业余爱好者来说，由于素描能力有限，这种个人风格是无意中引入的。由一个人的素描习惯决定，个人的绘画风格在很大程度上是个人一致和稳定的。在尝试根据草图输入重建预期模型时忽略这种重要的个人风格通常不会产生令人满意的结果，特别是对于业余草图绘制者而言。为了克服这个问题，我们提出了一种基于三视图用户草图输入的新颖的风格敏感 3D 模型检索方法。新方法对用户的个人素描风格进行建模，并构建联合张量分解以提高检索性能。
Traditional sketch-based 3D model retrieval methods are content-based, which return the search results by ranking the geometric similarities among a free-hand drawing and 3D model candidates. These conventional methods do not consider personal drawing characteristics and styles (abbreviated as styles), which are obvious and important in user's sketch queries. An ordinary user presumably is not a professional and skillful artist. Therefore, users are likely to introduce personal drawing style in sketching 3D model rather than faithfully render the model according to its geometric perspectives. For amateurs, such personal styles are unintentionally introduced due to their limited sketching capabilities. As determined by a person's sketching habit, personal drawing styles are largely personally consistent and stable. Ignoring such non-trivial personal styles while attempting to reconstruct intended models according to their sketch inputs does not usually produce satisfactory outcomes, in particular, for amateur sketchers. To overcome this problem, we propose a novel style-sensitive 3D model retrieval method based on three-view user sketch inputs. The new method models users' personal sketching styles and constructs joint tensor factorization to improve the retrieval performance.