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13
A search engine for 3d models
 ACM Transactions on Graphics
, 2003
"... As the number of 3D models available on the Web grows, there is an increasing need for a search engine to help people find them. Unfortunately, traditional textbased search techniques are not always effective for 3D data. In this paper, we investigate new shapebased search methods. The key challen ..."
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Cited by 305 (22 self)
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As the number of 3D models available on the Web grows, there is an increasing need for a search engine to help people find them. Unfortunately, traditional textbased search techniques are not always effective for 3D data. In this paper, we investigate new shapebased search methods. The key challenges are to develop query methods simple enough for novice users and matching algorithms robust enough to work for arbitrary polygonal models. We present a webbased search engine system that supports queries based on 3D sketches, 2D sketches, 3D
Shape Distributions
 ACM Transactions on Graphics
, 2002
"... this paper, we propose and analyze a method for computing shape signatures for arbitrary (possibly degenerate) 3D polygonal models. The key idea is to represent the signature of an object as a shape distribution sampled from a shape function measuring global geometric properties of an object. The pr ..."
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Cited by 279 (2 self)
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this paper, we propose and analyze a method for computing shape signatures for arbitrary (possibly degenerate) 3D polygonal models. The key idea is to represent the signature of an object as a shape distribution sampled from a shape function measuring global geometric properties of an object. The primary motivation for this approach is to reduce the shape matching problem to the comparison of probability distributions, which is simpler than traditional shape matching methods that require pose registration, feature correspondence, or model fitting
Matching 3D Models with Shape Distributions
"... Measuring the similarity between 3D shapes is a fundamental problem, with applications in computer vision, molecular biology, computer graphics, and a variety of other fields. A challenging aspect of this problem is to find a suitable shape signature that can be constructed and compared quickly, whi ..."
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Cited by 212 (7 self)
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Measuring the similarity between 3D shapes is a fundamental problem, with applications in computer vision, molecular biology, computer graphics, and a variety of other fields. A challenging aspect of this problem is to find a suitable shape signature that can be constructed and compared quickly, while still discriminating between similar and dissimilar shapes. In this paper, we propose and analyze a method for computing shape signatures for arbitrary (possibly degenerate) 3D polygonal models. The key idea is to represent the signature of an object as a shape distribution sampled from a shape function measuring global geometric properties of an object. The primary motivation for this approach is to reduce the shape matching problem to the comparison of probability distributions, which is a simpler problem than the comparison of 3D surfaces by traditional shape matching methods that require pose registration, feature correspondence, or model fitting. We find that the dissimilarities be...
A MultiClass Pattern Recognition System for Practical Finger Spelling Translation
 Proc. Int’l Conf. Multimodal Interfaces
, 2002
"... This paper presents a portable system and method for recognizing the 26 hand shapes of the American Sign Language alphabet, using a novel glovelike device. Two additional signs, 'space', and 'enter ' are added to the alphabet to allow the user to form words or phrases and send t ..."
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Cited by 10 (0 self)
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This paper presents a portable system and method for recognizing the 26 hand shapes of the American Sign Language alphabet, using a novel glovelike device. Two additional signs, 'space', and 'enter ' are added to the alphabet to allow the user to form words or phrases and send them to a speech synthesizer. Since the hand shape for a letter varies from one signer to another, this is a 28class pattern recognition system. A threelevel hierarchical classifier divides the problem into "dispatchers " and "recognizers. " After reducing pattern dimension from ten to three, the projection of class distributions onto horizontal planes makes it possible to apply simple linear discrimination in 2D, and Bayes ' Rule in those cases where classes had features with overlapped distributions. Twentyone out of 26 letters were recognized with 100 % accuracy; the worst case, letter U, achieved 78%.
New Methods For Reducing Size Graphs
, 1999
"... . Two new methods for reducing complexity of size graphs are described. Some theoretical results are given together with various examples. Keywords: shape, size graph, discrete size function. 1991 Mathematics Subject Classification: Primary 05C90, 68R10; Secondary 05C78, 05C85 1 Introduction: Size ..."
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Cited by 6 (1 self)
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. Two new methods for reducing complexity of size graphs are described. Some theoretical results are given together with various examples. Keywords: shape, size graph, discrete size function. 1991 Mathematics Subject Classification: Primary 05C90, 68R10; Secondary 05C78, 05C85 1 Introduction: Size Graphs and the Reduction Problem Size Theory is a new approach to the problem of comparing "shapes" of topological spaces, based on a mathematical transform named size function. Such a theory appears to be particularly useful in Computer Vision, when the topological spaces to be described and compared are images or parts of images. In fact, size functions have interesting properties such as resistance to noise and capability to be useful also in presence of occlusions (cf. [7]). Moreover, their modularity allows us to make them invariant under the transformation group we are interested in, e.g. the group of isometries or affine or projective transformations. Size Theory has turned out to b...
Sign Language Recognition: an Application of the Theory of Size Functions
 Paper presented at the British Machine Vision Conference 1995, BMVC'95, University of
, 1995
"... This paper discusses the use of certain integer valued functions of two real variables, named size functions, for shape representation and recognition. The recognition of the signing alphabet is described as a study case. A number of size functions are computed from the edge map of the viewed sign a ..."
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Cited by 2 (0 self)
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This paper discusses the use of certain integer valued functions of two real variables, named size functions, for shape representation and recognition. The recognition of the signing alphabet is described as a study case. A number of size functions are computed from the edge map of the viewed sign and a feature vector based on the obtained size functions is formed. A training set of feature vectors built from real images and the ^nearestneighbor rule are employed for the classification of unpreviously seen signs. The proposed system performs recognition at about 2Hz with feature vectors of small dimension. The reported experiments indicate that size functions can be effectively used for the recognition of nonrigid shapes. 1
A New Instrumented Approach For Translating American Sign Language Into Sound And Text
"... This paper discusses a novel approach for capturing and translating isolated gestures of American Sign Language into spoken and written words. The instrumented part of the system combines an AcceleGlove and a twolink arm skeleton. Gestures of the American Sign Language are broken down into unique s ..."
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This paper discusses a novel approach for capturing and translating isolated gestures of American Sign Language into spoken and written words. The instrumented part of the system combines an AcceleGlove and a twolink arm skeleton. Gestures of the American Sign Language are broken down into unique sequences of phonemes called Poses and Movements, recognized by software modules trained and tested independently on volunteers with different hand sizes and signing ability. Recognition rates of independent modules reached up to 100 % for 42 postures, 6 orientations, 11 locations and 7 movements using linear classification. The overall sign recognizer was tested using a subset of the American Sign Language dictionary comprised by 30 onehanded signs, achieving 98 % accuracy. The system proved to be scalable: when the lexicon was extended to 176 signs and tested without retraining, the accuracy was 95%. This represents an improvement over classification based on Hidden Markov Models and Neural Network.
Gesture Recognition for Robot Control
"... This paper describes a system which enables a robot to recognize and respond to hand gestures from a human operator. The robot uses a color camera on a pantilt unit to track an operator as both the robot and the operator move, with the operator controlling the robot through visual gestures. The syst ..."
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This paper describes a system which enables a robot to recognize and respond to hand gestures from a human operator. The robot uses a color camera on a pantilt unit to track an operator as both the robot and the operator move, with the operator controlling the robot through visual gestures. The system uses a segmentation based on the hue of the image to find skincolored areas. It then uses a convexitybased feature detector to find possible fingertips. The fingertips are filtered through geometry constraints to identify possible finger candidates. These are then matched against hand models to perform gesture recognition. This system is capable of recognizing a few simple gestures from a wide range of operators in an environment with complex backgrounds.
Virtual sign language teaching environment
"... Virtual environments have huge potential in education [1]. This paper presents a virtual learning environment which is aimed at making sign language lessons accessible to the general community. The system presented is a practical and interactive teaching environment which instructs and gives realti ..."
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Virtual environments have huge potential in education [1]. This paper presents a virtual learning environment which is aimed at making sign language lessons accessible to the general community. The system presented is a practical and interactive teaching environment which instructs and gives realtime feedback on the users’ performance of the signs. 1.
Recognition of Natural Objects
, 1998
"... This is a proposal for a thesis topic of robust tracking and recognition of finger gestures. It is anticipated that this work will also provide and demonstrate a design framework for combining multiple sources of information. These will including stereo range images, color segmentations, motion imag ..."
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This is a proposal for a thesis topic of robust tracking and recognition of finger gestures. It is anticipated that this work will also provide and demonstrate a design framework for combining multiple sources of information. These will including stereo range images, color segmentations, motion images, shape information, and various constraints about the information. This information will be used in robust model fitting techniques to track highly overconstrained models of deformable objects such as fingers. Other key contributions will be that this thesis will examine the utility of stereo range images for certain tasks and will provide an example of a robust vision system.