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640
Geometric Fusion for a Hand-held 3D Sensor
, 2000
"... This article presents a geometric fusion algorithm developed for the reconstruction of 3D surface models from hand-held sensor data. Hand-held systems allow full 3D movement of the sensor to capture the shape of complex objects. Techniques previously developed for reconstruction from conventional ..."
Abstract
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Cited by 4 (0 self)
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This article presents a geometric fusion algorithm developed for the reconstruction of 3D surface models from hand-held sensor data. Hand-held systems allow full 3D movement of the sensor to capture the shape of complex objects. Techniques previously developed for reconstruction from
Propagation and Fusion of Uncertain Geometric Information ∗
"... Propagation and fusion of geometric information is of great significance in multisensorial systems, mainly in robotics applications, where multiple sensors or mobile sensor systems that change their perspective of the environment capture uncertain sparse, and sometimes partial, geometric data. In a ..."
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Propagation and fusion of geometric information is of great significance in multisensorial systems, mainly in robotics applications, where multiple sensors or mobile sensor systems that change their perspective of the environment capture uncertain sparse, and sometimes partial, geometric data. In a
A GEOMETRIC CONSTRUCTION OF SATURATED FUSION SYSTEMS
"... Abstract. A saturated fusion system consists of a finite p-group S, together with a category which encodes “conjugacy ” relations among subgroups of S, and which satisfies certain axioms which are motivated by properties of the fusion in a Sylow saturated fusion systems, first as fusion systems of s ..."
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Cited by 8 (1 self)
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Abstract. A saturated fusion system consists of a finite p-group S, together with a category which encodes “conjugacy ” relations among subgroups of S, and which satisfies certain axioms which are motivated by properties of the fusion in a Sylow saturated fusion systems, first as fusion systems
Exploration of a geometric model of data fusion
- In Proceedings of the 2002 Conference of the American Society for Information Science and Technology
, 2002
"... Some aspects of Data Fusion (DF) for Information Retrieval (IR) are explored using a set of data from the Fifth International Conference on Text Retrieval, TRECS. It has been observed from time to time that DF applied to a pair of systems or schemes for IR may yield results that are better than thos ..."
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Cited by 3 (1 self)
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Some aspects of Data Fusion (DF) for Information Retrieval (IR) are explored using a set of data from the Fifth International Conference on Text Retrieval, TRECS. It has been observed from time to time that DF applied to a pair of systems or schemes for IR may yield results that are better than
FUSION OF GEOMETRICAL AND TEXTURE INFORMATION FOR FACIAL EXPRESSION RECOGNITION
"... A novel method based on geometrical and texture information is proposed for facial expression recognition from video sequences. The Discriminant Non-negative Matrix Factorization (DNMF) algorithm is applied at the image of the last frame of the video sequence, corresponding to the greatest intensity ..."
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of the node coordinates between the neutral (first) and the fully expressed facial expression (last) video frame. The fusion of texture and geometrical information obtained is performed using SVMs. The accuracy achieved is 98,7 % when recognizing the six basic facial expressions. 1.
Fusion of Geometrical and Statistical Techniques for Human Ear Recognition
"... Abstract — Biometric systems have been implemented on numerous public facilities that are able to enhance the security system. Ear is one of emerging biometric and proved to have a great potential for identifying a person. Research of ear recognition and its application is a new subject in the field ..."
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Cited by 1 (0 self)
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in the image is gathered by using wavelet transform. Some geometrical features are computed and included in the feature set in order to improve the efficiency. Thus a feature set containing most of the useful information about the ear (ear shape, length, perimeter etc.) is formed. The proposed technique
Kinectfusion: real-time 3D reconstruction and interaction using a moving depth camera
- In Proc. UIST
, 2011
"... Figure 1: KinectFusion enables real-time detailed 3D reconstructions of indoor scenes using only the depth data from a standard Kinect camera. A) user points Kinect at coffee table scene. B) Phong shaded reconstructed 3D model (the wireframe frustum shows current tracked 3D pose of Kinect). C) 3D mo ..."
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Cited by 157 (20 self)
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standard Kinect camera to rapidly create detailed 3D reconstructions of an indoor scene. Only the depth data from Kinect is used to track the 3D pose of the sensor and reconstruct, geometrically precise, 3D models of the physical scene in real-time. The capabilities of KinectFusion, as well as the novel
Results 1 - 10
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