Sketch-based 3D Model Retrieval using Keyshapes for Global and Local Representation

The overall goal of the HAMOD project is to develop a dynamic GIS model capable of modeling the spatial dis- tribution of hard bottom species (reference conditions) and

It ex- amines quality of care issues amidst expanding coverage (43), the role of private health-services in the ‘public good’ (44), politics (5), solidarity and obligation (36,

CogSketch combines its visual, spatial, and conceptual knowledge about the glyphs in a sketch to create a qualitative, symbolic representation of the sketch itself and what

Proposed algorithm employs Bag-of-Features (BoF) integration of a set of simple, 3D, local, geometrical features, so a 3D mod- el is described by an integrated feature vector per

In this paper, we have presented a sparse representation based framework to integrate local shape descriptors into a global shape descriptor for non-rigid 3D shape retrieval. The

It is based on a combination of a single view 3D shape descriptor and a temporal descriptor (initially used to accumulate appearance descriptors of an object over time) that

The objective of this track is to evaluate the performance of different sketch-based 3D model retrieval algorithms using a large scale hand-drawn sketch query dataset on a

This paper introduces an enhanced 3D object retrieval technique using a compact and highly discriminative feature point descriptor.. The key idea is based on integrating Bag of