Three different statistical models of colour data for use in segmentation or tracking algorithms are proposed. Results of a performance comparison of a tracking algorithm, applied to two separate applications, using e...
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ISBN:
(纸本)0780342364
Three different statistical models of colour data for use in segmentation or tracking algorithms are proposed. Results of a performance comparison of a tracking algorithm, applied to two separate applications, using each of the three different types of underlying model of the data are presented. From these a comparison of the performance of the statistical colour models themselves is obtained.
We present a new, efficient stereo algorithm addressing robust disparity estimation in the presence of occlusions. The algorithm is an adaptive, multi-window scheme using left-right consistency to compute disparity an...
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ISBN:
(纸本)0780342364
We present a new, efficient stereo algorithm addressing robust disparity estimation in the presence of occlusions. The algorithm is an adaptive, multi-window scheme using left-right consistency to compute disparity and its associated uncertainty. We demonstrate and discuss performances with both synthetic and real stereo pairs, and show how our results improve an those of closely related techniques for both robustness and efficiency.
We propose a computational model motivated by human cognitive processes for detecting changes of driving environments. The model, call dynamic visual model, consists of three major components: sensory, perceptual, and...
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ISBN:
(纸本)0769519008
We propose a computational model motivated by human cognitive processes for detecting changes of driving environments. The model, call dynamic visual model, consists of three major components: sensory, perceptual, and conceptual components.. The proposed model is used as the underlying framework in which a system for detecting and recognizing road signs is developed.
The demo presents a virtual min-or interface which reacts to the viewer using robust, real-time face tracking. The display directly combines a user's face with various graphical distortions, performed only on the ...
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ISBN:
(纸本)0818684976
The demo presents a virtual min-or interface which reacts to the viewer using robust, real-time face tracking. The display directly combines a user's face with various graphical distortions, performed only on the face region in the image. The face detection and tracking is done in real-time, so the graphical effect stays with the user and continues to adapt as they move within the viewing space, increasing in intensity as the user approaches the display.
A demonstration of a software prototype, called VADIS, (Video Analysis, Display and Indexing System) is presented. The functionality of VADIS includes real-time indexing of incoming live video stream using color histo...
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ISBN:
(纸本)0818684976
A demonstration of a software prototype, called VADIS, (Video Analysis, Display and Indexing System) is presented. The functionality of VADIS includes real-time indexing of incoming live video stream using color histogram based frame differencing, non-real-time cut detection and indexing of Motion JPEG or MPEG-1 video files. It includes a feature to save the indices and the storyboard generated during the indexing process.
We introduce in this paper two probabilistic reasoning models (PRM-I and PRM-2) which combine the Principal Component Analysis (PCA) technique and the Bayes classifier and show their feasibility on the face recognitio...
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ISBN:
(纸本)0818684976
We introduce in this paper two probabilistic reasoning models (PRM-I and PRM-2) which combine the Principal Component Analysis (PCA) technique and the Bayes classifier and show their feasibility on the face recognition problem. The conditional probability density function for each class is modeled using the within class scatter and the Maximum A Posteriori (MAP) classification rule is implemented in the reduced PCA subspace. Experiments carried out using 1107 facial images corresponding to 369 subjects (with 169 subjects having duplicate images) from the FERET database show that the PRM approach compares favorably against the two well-known methods for face recognition the Eigenfaces and Fisherfaces.
This paper presents a new technique for modelling object classes (such as laces) and matching the model to novel images from the object class. The technique can be used for a variety of image analysis applications inc...
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ISBN:
(纸本)0818684976
This paper presents a new technique for modelling object classes (such as laces) and matching the model to novel images from the object class. The technique can be used for a variety of image analysis applications including face recognition, object verification and facial expression analysis. The model, called a hierarchical morphable model, is "learned" from example images (partioned into components) and their correspondences. This is an extension to the work on morphable models described in previous papers ([6] [5], [12]). Hierarchical morphable models are shown to find good matches to novel lace images and are also robust to partial occlusion.
This paper presents a robust technique to detect local deteriorations of old cinematographic films. This method relies on spatio-temporal information and combines two different detectors : a morphological detector whi...
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ISBN:
(纸本)0780342364
This paper presents a robust technique to detect local deteriorations of old cinematographic films. This method relies on spatio-temporal information and combines two different detectors : a morphological detector which uses spatial properties of deteriorations, and a dynamic detector based on motion estimation techniques. Our deterioration detector has been validated Olt several film sequences and turned out to be a powerful tool for digital film restoration.
We present a new method for synthesizing novel views of a 3D scene from few model images in full correspondence. The core of this work is the derivation of a tensorial operator that describes the transformation from) ...
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ISBN:
(纸本)0780342364
We present a new method for synthesizing novel views of a 3D scene from few model images in full correspondence. The core of this work is the derivation of a tensorial operator that describes the transformation from) a given tensor of three views to a novel tensor of a new configuration of three views. BL repeated application of the operator an a seed tensor with a sequence of desired virtual camera positions we obtain a chain of warping functions (tensors) from the set of model images to create the desired virtual views.
Recently, rue have proposed a new approach to estimation of the coefficients of eigenimages, which is robust against occlusion, varying background: and other types of non-Gaussian noise [4, 5]. In this paper we show t...
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ISBN:
(纸本)0818684976
Recently, rue have proposed a new approach to estimation of the coefficients of eigenimages, which is robust against occlusion, varying background: and other types of non-Gaussian noise [4, 5]. In this paper we show that our method for estimating the coefficients can be applied to convolved and subsampled images yielding the same value of the coefficients. This enables an efficient multiresolution approach, where the values of the coefficients can directly be propagated through the scales. This property is used to extend oar robust method to the problem of scaled images. We performed extensive experimental evaluations to confirm, our theoretical results.
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