Investigating the Effects of Multiple Factors Towards More Accurate 3-D Object Retrieval


This paper proposes a novel framework for 3-D object retrieval, taking into account most of the factors that may affect the retrieval performance. Initially, a novel 3-D model alignment method is introduced, which achieves accurate rotation estimation through the combination of two intuitive criteria, plane reflection symmetry and rectilinearity. After the pose normalization stage, a low-level descriptor extraction procedure follows, using three different types of descriptors, which have been proven to be effective. Then, a novel combination procedure of the above descriptors takes place, which achieves higher retrieval performance than each descriptor does separately. The paper provides also an in-depth study of the factors that can further improve the 3-D object retrieval accuracy. These include selection of the appropriate dissimilarity metric, feature selection/dimensionality reduction on the initial low-level descriptors, as well as manifold learning for re-ranking of the search results. Experiments performed on two 3-D model benchmark datasets confirm our assumption that future research in 3-D object retrieval should focus more on the efficient combination of low-level descriptors as well as on the selection of the best features and matching metrics, than on the investigation of the optimal 3-D object descriptor.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE :Analytical Tools for Investigating Stability and Power Generation of Electromagnetic Vibration Energy HarvestersABSTRACT:This paper presents a general linear methodology for analyzing how the choice of electrical
PROJECT TITLE :VoLTE Performance in Railway Scenarios: Investigating VoLTE as a Viable Replacement for GSM-RABSTRACT:World System for Mobile Communications-Railway (GSM-R) is this standard for railway voice and knowledge communication.
PROJECT TITLE :Investigating receptor enzyme activity using time-scale analysisABSTRACT:At early drug discovery, purified protein-based assays are often used to characterise compound potency. Within the context of dose response,
PROJECT TITLE :Investigating the impact of unanticipated market and construction delays on the development of a meshed HVDC grid using dynamic transmission planningABSTRACT:This study presents a market-based dynamic transmission
PROJECT TITLE :Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural NetworksABSTRACT:To investigate important frequency bands and channels, this paper introduces deep belief networks

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry