3D Model Retrieval
By Dietmar Saupe. 2001
255 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Binh-Son Hua
- Quang-Hieu Pham
- Dinh C. Nguyen
- Johan W. H. Tangelder
- Remco C. Veltkamp
- Sai-Kit Yeung
- Minh-Khoi Tran
- Dejan V. Vranic
Citations in the corpus
- 3D Model Retrieval with Spherical Harmonics and Moments (2001, methodology): “To address this issue we introduced appropriately chosen vertex weights for the PCA [10], while Paquet et al.”
- A survey of content based 3D shape retrieval methods (2004, methodology): “Vrani´c et al. [85] describe a surface by associating to each ray from the origin, the value equal to the distance to the last point of intersection of the model with the ray and compute spherical harmonics for this spherical extent function .”
- Sketch-based 3D model retrieval using diffusion tensor fields of suggestive contours (2010, methodology): “Other such view-based approaches are presented in [11], which was only used for query-by-example, and [12], which was also successfully used for sketch-based retrieval.”
- Tools for 3D-object retrieval: Karhunen-Loeve transform and spherical harmonics (2001, methodology): “The remaining part of this step follows the standard PCA.”
- Feature-based similarity search in 3D object databases (2005, methodology): “Then, it is advantageous to use a weighing scheme to re.ect the in.uence that each polygon contributes to the overall object distribution when using polygon centers or mesh vertices [Vrani´ c and Saupe 2000; Paquet and Rioux 2000].”
- RGB-D to CAD Retrieval with ObjectNN Dataset (2017, methodology): “In this approach, an RGB-D object is first aligned by Continuous Principle Component Analysis (CPCA) [Vra04].”
- Salient local visual features for shape-based 3D model retrieval (2008, methodology): “One of the pose normalization methods, called mass-PCA, is based on inertial moment of a mass uniformly distributed on the surfaces of the model [41].”
- SHREC 2007 3 D Shape Retrieval Contest (2006, methodology): “On the basis of these observations, we built our benchmark, shown in Figure 1.”