3D-Model search engine from photos

Abstract

In this paper, we present the FOX-MIIRE 3D-Model Search Engine. Our search engine is based on Adaptive Views Vlustering (AVC) algorithm [4]. The AVC method uses statistical model distribution scores to select the optimal number of views to characterise a 3D-model. The search engine also uses a probabilistic Bayesian method to retrieve 3D-models visualy similar to a query 3D-model, photos or sketches. We present our results on the Princeton 3D Shape Benchmark database (1814 3D-models). Our 3D-model search engine is available on-line to assess and test our results. To our knowledge the FOX-MIIRE search engine is the first search engine that accepts 3D-models retrieval from photos [5]. The FOX-MIIRE search engine adapts its own user interface depending on the web access device (desktop computer, PDA, SmartPhone).