Results 1 - 10 of 9,793

High confidence visual recognition of persons by a test of statistical independence

by John G. Daugman - IEEE TRANS. ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE , 1993
"... A method for rapid visual recognition of personal identity is described, based on the failure of a statistical test of independence. The most unique phenotypic feature visible in a person’s face is the detailed texture of each eye’s iris: An estimate of its statistical complexity in a sample of the ..."
Abstract - Cited by 621 (8 self) - Add to MetaCart
A method for rapid visual recognition of personal identity is described, based on the failure of a statistical test of independence. The most unique phenotypic feature visible in a person’s face is the detailed texture of each eye’s iris: An estimate of its statistical complexity in a sample

Creating efficient codebooks for visual recognition

by Frederic Jurie, Bill Triggs - In Proceedings of the IEEE International Conference on Computer Vision , 2005
"... Visual codebook based quantization of robust appearance descriptors extracted from local image patches is an effective means of capturing image statistics for texture analysis and scene classification. Codebooks are usually constructed by using a method such as k-means to cluster the descriptor vect ..."
Abstract - Cited by 276 (22 self) - Add to MetaCart
Visual codebook based quantization of robust appearance descriptors extracted from local image patches is an effective means of capturing image statistics for texture analysis and scene classification. Codebooks are usually constructed by using a method such as k-means to cluster the descriptor

Visual Recognition of American Sign Language Using Hidden Markov Models

by Thad E. Starner, Alex Pentland , 1995
"... Using hidden Markov models (HMM's), an unobstrusive single view camera system is developed that can recognize hand gestures, namely, a subset of American Sign Language (ASL). Previous systems have concentrated on finger spelling or isolated word recognition, often using tethered electronic glov ..."
Abstract - Cited by 348 (14 self) - Add to MetaCart
gloves for input. We achieve high recognition rates for full sentence ASL using only visual cues. A forty word lexicon consisting of personal pronouns, verbs, nouns, and adjectives is used to create 494 randomly constructed five word sentences that are signed by the subject to the computer. The data

View-Based and Modular Eigenspaces for Face Recognition

by Alex Pentland, Baback Moghaddam, Thad Starner - IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION & PATTERN RECOGNITION , 1994
"... In this work we describe experiments with eigenfaces for recognition and interactive search in a large-scale face database. Accurate visual recognition is demonstrated using a database of o(10^3) faces. The problem of recognition under general viewing orientation is also explained. A view-based mul ..."
Abstract - Cited by 781 (15 self) - Add to MetaCart
In this work we describe experiments with eigenfaces for recognition and interactive search in a large-scale face database. Accurate visual recognition is demonstrated using a database of o(10^3) faces. The problem of recognition under general viewing orientation is also explained. A view

Visual recognition with humans in the loop

by Steve Branson, Catherine Wah, Florian Schroff, Boris Babenko, Pietro Perona, Serge Belongie - In ECCV , 2010
"... Abstract. We present an interactive, hybrid human-computer method for object classification. The method applies to classes of objects that are recognizable by people with appropriate expertise (e.g., animal species or airplane model), but not (in general) by people without such expertise. It can be ..."
Abstract - Cited by 79 (5 self) - Add to MetaCart
almost any off-the-shelf multi-class object recognition algorithm into the visual 20 questions game, and provide methodologies to account for imperfect user responses and unreliable computer vision algorithms. We evaluate our methods on Birds-200, a difficult dataset of 200 tightly-related bird species

Kernel Descriptors for Visual Recognition

by Liefeng Bo, Xiaofeng Ren, Dieter Fox
"... The design of low-level image features is critical for computer vision algorithms. Orientation histograms, such as those in SIFT [16] and HOG [3], are the most successful and popular features for visual object and scene recognition. We highlight the kernel view of orientation histograms, and show th ..."
Abstract - Cited by 69 (13 self) - Add to MetaCart
The design of low-level image features is critical for computer vision algorithms. Orientation histograms, such as those in SIFT [16] and HOG [3], are the most successful and popular features for visual object and scene recognition. We highlight the kernel view of orientation histograms, and show

Visual Recognition, Circa 2007

by Pietro Perona , 2007
"... I am collecting here a few thoughts on broad issues in visual recognition. I am assuming that the reader has some familiarity with vision and visual recognition. This is not a survey, and the references are meant to exemplify an idea or an approach – they are not meant to give proper credit to the m ..."
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I am collecting here a few thoughts on broad issues in visual recognition. I am assuming that the reader has some familiarity with vision and visual recognition. This is not a survey, and the references are meant to exemplify an idea or an approach – they are not meant to give proper credit

Pictorial Structures for Object Recognition

by Pedro F. Felzenszwalb, Daniel P. Huttenlocher - IJCV , 2003
"... In this paper we present a statistical framework for modeling the appearance of objects. Our work is motivated by the pictorial structure models introduced by Fischler and Elschlager. The basic idea is to model an object by a collection of parts arranged in a deformable configuration. The appearance ..."
Abstract - Cited by 816 (15 self) - Add to MetaCart
. The appearance of each part is modeled separately, and the deformable configuration is represented by spring-like connections between pairs of parts. These models allow for qualitative descriptions of visual appearance, and are suitable for generic recognition problems. We use these models to address the problem

Action recognition in the premotor cortex

by Vittorio Gallese, Luciano Fadiga, Leonardo Fogassi, Giacomo Rizzolatti - Brain , 1996
"... We recorded electrical activity from 532 neurons in the rostral part of inferior area 6 (area F5) of two macaque monkeys. Previous data had shown that neurons of this area discharge during goal-directed hand and mouth movements. We describe here the properties of a newly discovered set of F5 neurons ..."
Abstract - Cited by 671 (47 self) - Add to MetaCart
neurons ('mirror neurons', n = 92) all of which became active both when the monkey performed a given action and when it observed a similar action performed by the experimenter. Mirror neurons, in order to be visually triggered, required an interaction between the agent of the action

Hierarchical Models of Object Recognition in Cortex

by Maximilian Riesenhuber, Tomaso Poggio , 1999
"... The classical model of visual processing in cortex is a hierarchy of increasingly sophisticated representations, extending in a natural way the model of simple to complex cells of Hubel and Wiesel. Somewhat surprisingly, little quantitative modeling has been done in the last 15 years to explore th ..."
Abstract - Cited by 836 (84 self) - Add to MetaCart
the biological feasibility of this class of models to explain higher level visual processing, such as object recognition. We describe a new hierarchical model that accounts well for this complex visual task, is consistent with several recent physiological experiments in inferotemporal cortex and makes testable
Results 1 - 10 of 9,793