Symmetry is a common characteristic in natural and man‐made objects. Its ubiquitous
nature can be exploited to facilitate the analysis and processing of computational …

Feature learning for 3D shapes is challenging due to the lack of natural paramterization for
3D surface models. We adopt the multi‐view depth image representation and propose Multi …

We introduce a contextual descriptor which aims to provide a geometric description of the
functionality of a 3D object in the context of a given scene. Differently from previous works …

As a dynamic and essential component in the road environment of urban scenarios, vehicles
are the most popular investigation targets. To monitor their behavior and extract their …

Interactions play a key role in understanding objects and scenes for both virtual and real-
world agents. We introduce a new general representation for proximal interactions among …

A central goal of computer graphics is to provide tools for designing and simulating real or
imagined artifacts. An understanding of functionality is important in enabling such modeling …

This chapter proposes thirty-two guidelines for pro-actively building a good human-robot
user interface and illustrates them through case studies of two technological mature ImPACT …

The property of symmetry in 3D objects is helpful in various applications such as object
alignment, compression, symmetrical editing or reconstruction of incomplete objects …

We present a deformation-driven approach to topology-varying 3D shape correspondence.
In this paradigm, the best correspondence between two shapes is the one that results in a …

Projective methods generally achieve better results in 3D object recognition in recent years.
This may be similar to that human visual 3D shapes rely on various 2D observations which …