The Conference on Computer Vision and Pattern Recognition is an annual conference on

computer vision Computer vision tasks include methods for image sensor, acquiring, Image processing, processing, Image analysis, analyzing, and understanding digital images, and extraction of high-dimensional data from the real world in order to produce numerical ...

and

pattern recognition Pattern recognition is the task of assigning a class to an observation based on patterns extracted from data. While similar, pattern recognition (PR) is not to be confused with pattern machines (PM) which may possess PR capabilities but their p ...

Affiliations

The conference was first held in 1983 in Washington, DC, organized by

Takeo Kanade is a Japanese computer scientist and one of the world's foremost researchers in computer vision. He is U.A. and Helen Whitaker Professor at Carnegie Mellon School of Computer Science. He has approximately 300 peer-reviewed academic publication ...

and Dana H. Ballard. From 1985 to 2010 it was sponsored by the

IEEE Computer Society IEEE Computer Society (commonly known as the Computer Society or CS) is a technical society of the Institute of Electrical and Electronics Engineers (IEEE) dedicated to computing, namely the major areas of hardware, software, standards and people ...

. In 2011 it was also co-sponsored by

University of Colorado Colorado Springs The University of Colorado Colorado Springs (UCCS) is a Public university, public research university in Colorado Springs, Colorado. It is one of four campuses that make up the University of Colorado system. As of Fall 2023, UCCS had over 11 ...

. Since 2012 it has been co-sponsored by the IEEE Computer Society and the Computer Vision Foundation, which provides

open access Open access (OA) is a set of principles and a range of practices through which nominally copyrightable publications are delivered to readers free of access charges or other barriers. With open access strictly defined (according to the 2001 de ...

to the conference papers.

Scope

The conference considers a wide range of topics related to computer vision and pattern recognition—basically any topic that is extracting structures or answers from images or video or applying mathematical methods to data to extract or recognize patterns. Common topics include

object recognition Object recognition – technology in the field of computer vision for finding and identifying objects in an image or video sequence. Humans recognize a multitude of objects in images with little effort, despite the fact that the image of the ...

image segmentation In digital image processing and computer vision, image segmentation is the process of partitioning a digital image into multiple image segments, also known as image regions or image objects (Set (mathematics), sets of pixels). The goal of segmen ...

motion estimation In computer vision and image processing, motion estimation is the process of determining ''motion vectors'' that describe the transformation from one 2D image to another; usually from adjacent video frame, frames in a video sequence. It is an wel ...

, 3D reconstruction, and

deep learning Deep learning is a subset of machine learning that focuses on utilizing multilayered neural networks to perform tasks such as classification, regression, and representation learning. The field takes inspiration from biological neuroscience a ...

. The conference generally has less than 30% acceptance rates for all papers and less than 5% for oral presentations. It is managed by a rotating group of volunteers who are chosen in a public election at the Pattern Analysis and Machine Intelligence-Technical Community (PAMI-TC) meeting four years before the meeting. The conference uses a multi-tier double-blind

peer review Peer review is the evaluation of work by one or more people with similar competencies as the producers of the work (:wiktionary:peer#Etymology 2, peers). It functions as a form of self-regulation by qualified members of a profession within the ...

process. The program chairs, who cannot submit papers, select area chairs who manage the reviewers for their subset of submissions.

Location and Time

The conference is usually held in June in North America.

Awards

Best Paper Award

These awards are picked by committees delegated by the program chairs of the conference.

Longuet-Higgins Prize

The Longuet-Higgins Prize recognizes papers from ten years ago that have made a significant impact on computer vision research.

PAMI Young Researcher Award

The Pattern Analysis and Machine Intelligence Young Researcher Award is an award given by the Technical Committee on Pattern Analysis and Machine Intelligence of the IEEE Computer Society to a researcher within 7 years of completing their Ph.D. for outstanding early career research contributions. Candidates are nominated by the computer vision community, with winners selected by a committee of senior researchers in the field. This award was originally instituted in 2012 by the journal '' Image and Vision Computing'', also presented at the conference, and the journal continues to sponsor the award.

PAMI Thomas S. Huang Memorial Prize

The Thomas Huang Memorial Prize was established at the 2020 conference and is awarded annually starting from 2021 to honor researchers who are recognized as examples in research, teaching/mentoring, and service to the computer vision community.

References

External links

2020 conference website2019 conference website
{{Authority control Computer vision research infrastructure IEEE conferences Signal processing conferences Computer science conferences Annual events