The recent introduction of 3D shape analysis frameworks able to quantify the deformation of
a shape into another in terms of the variation of real functions yields a new interpretation of …

This work offers an overview of the state-of-the-art on the emerging area of 3D object
retrieval based on partial queries. This research area is associated with several application …

Large-scale 3D shape retrieval has become an important research direction in content-
based 3D shape retrieval. To promote this research area, two Shape Retrieval Contest …

Abstract 3D models of humans are commonly used within computer graphics and vision,
and so the ability to distinguish between body shapes is an important shape retrieval …

Automating dimensional compliance control and progress tracking using computer vision
has been identified as a central opportunity for improvement in the construction industry …

Automatically acquiring knowledge of manufacturing process capabilities described in terms
of the part shapes they can produce, materials they can process, and part qualities they can …

In this work, we present a deep neural network model to automatically learn the capabilities
of discrete manufacturing processes such as machining and finishing from design and …

Content-based shape retrieval techniques can facilitate 3D model resource reuse, 3D model
modeling, object recognition, and 3D content classification. Recently more and more …

Generative design is a system that automates part of the design process, but it cannot
evaluate psychological issues related to shapes, such as “beauty” and “liking”. Designers …

The variety of human morphologies is an important issue for the textile-apparel industry.
Indeed, sizing systems currently used by companies have to be continuously updated or …