Multi-View Object Retrieval via Multi-Scale Topic Models.

The increasing number of 3D objects in various applications has increased the requirement for effective and efficient 3D object retrieval methods, which attracted extensive research efforts in recent years. Existing works mainly focus on how to extract features and conduct object matching. With the increasing applications, 3D objects come from different areas. In such circumstances, how to conduct object retrieval becomes more important. To address this issue, we propose a multi-view object retrieval method using multi-scale topic models in this paper. In our method, multiple views are first extracted from each object, and then the dense visual features are extracted to represent each view. To represent the 3D object, multi-scale topic models are employed to extract the hidden relationship among these features with respect to varied topic numbers in the topic model. In this way, each object can be represented by a set of bag of topics. To compare the objects, we first conduct topic clustering for the basic topics from two data sets, and then generate the common topic dictionary for new representation. Then, the two objects can be aligned to the same common feature space for comparison. To evaluate the performance of the proposed method, experiments are conducted on two data sets. The 3D object retrieval experimental results and comparison with existing methods demonstrate the effectiveness of the proposed method.

Morphological and Anatomical Studies on the Medicinal Material of Equisetaceae from Shandong Province / 中草药

The morphology and anatomy of two genera, five species and one variety ofEquisetaceae produced in Shandong Province were studied under light and scanning electron microscope.There are remarkble differences between Equisetum L. and Hippochatete Milde in the type of stomas, at-tachments on the surface of stoma guard cells and the number of epithelial layers; and the presence of lat-eral xylem in all vasular bundle of Equisetaceae from Shandong. The results showed that they can be identi-fied taxonomically according to their inner structual and epidermal characteristics of stem between differentgenera, but with little difference among species of same genus.