Three-dimensional shape searching is a problem of current interest in several different
fields. Most techniques have been developed for a particular domain and reduce a shape …

Neurophysiological evidence is described, showing that some neurons in the macaque
temporal cortical visual areas have responses that are invariant with respect to the position …

Recent advances in large-scale pretraining have yielded visual foundation models with
strong capabilities. Not only can recent models generalize to arbitrary images for their …

We characterize the problem of pose estimation for rigid objects in terms of determining
viewpoint to explain coarse pose and keypoint prediction to capture the finer details. We …

We present a novel approach to measuring similarity between shapes and exploit it for
object recognition. In our framework, the measurement of similarity is preceded by:(1) …

Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled
Machine Vision) clearly and systematically presents the basic methodology of computer and …

This is the newly revised and expanded edition of the popular introduction to the design and
implementation of geometry algorithms arising in areas such as computer graphics, robotics …

Investigates and discusses the underlying nature of the requirements traceability problem.
Our work is based on empirical studies, involving over 100 practitioners, and an evaluation …

Object recognition systems constitute a deeply entrenched and omnipresent component of
modern intelligent systems. Research on object recognition algorithms has led to advances …

We propose that, for the task of object recognition, the visual system decomposes shapes
into parts, that it does so using a rule defining part boundaries rather than part shapes, that …