Search Results - Computer Graphics- Computational Geometry and Object Modeling. Keywords

A Survey on Shape Correspondence by van Kaick, Oliver, Zhang, Hao, Hamarneh, Ghassan, Cohen-Or, Daniel

“…We review methods designed to compute correspondences between geometric shapes represented by triangle meshes, contours or point sets. This survey is motivated…”
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Modeling Coverage in Camera Networks: A Survey by Mavrinac, Aaron, Chen, Xiang

“…Modeling the coverage of a sensor network is an important step in a number of design and optimization techniques…”
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Trajectory Analysis and Semantic Region Modeling Using Nonparametric Hierarchical Bayesian Models by Wang, Xiaogang, Ma, Keng Teck, Ng, Gee-Wah, Grimson, W. Eric L.

“… ), for unsupervised trajectory analysis and semantic region modeling in surveillance settings. In our approach, trajectories are treated as documents and observations of an object on a trajectory are treated as words in a document…”
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Discriminative Models for Multi-Class Object Layout by Desai, Chaitanya, Ramanan, Deva, Fowlkes, Charless C.

“…Many state-of-the-art approaches for object recognition reduce the problem to a 0-1 classification task…”
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From Images to Shape Models for Object Detection by Ferrari, Vittorio, Jurie, Frederic, Schmid, Cordelia

“…We present an object class detection approach which fully integrates the complementary strengths offered by shape matchers…”
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Detecting parametric objects in large scenes by Monte Carlo sampling by Verdié, Yannick, Lafarge, Florent

“…Point processes constitute a natural extension of Markov random fields (MRF), designed to handle parametric objects…”
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PWP3D: Real-Time Segmentation and Tracking of 3D Objects by Prisacariu, Victor A., Reid, Ian D.

“…-wise posterior membership probabilities (as opposed to likelihoods). We derive the differentials of this energy with respect to the pose parameters of the 3D object…”
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Weakly Supervised Localization and Learning with Generic Knowledge by Deselaers, Thomas, Alexe, Bogdan, Ferrari, Vittorio

“…Learning a new object class from cluttered training images is very challenging when the location of object instances is unknown, i.e…”
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Time-Delayed Correlation Analysis for Multi-Camera Activity Understanding by Loy, Chen Change, Xiang, Tao, Gong, Shaogang

“… In our approach, each camera view is first decomposed automatically into regions based on the correlation of object dynamics across different spatial locations in all camera views…”
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Shape-Based Object Detection via Boundary Structure Segmentation by Toshev, Alexander, Taskar, Ben, Daniilidis, Kostas

“…We address the problem of object detection and segmentation using global holistic properties of object shape…”
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Scale and Object Aware Image Thumbnailing by Sun, Jin, Ling, Haibin

“…, object completeness and local structure smoothness. To address these issues, we propose a new thumbnailing framework named scale and object aware thumbnailing (SOAT…”
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A Computational Learning Theory of Active Object Recognition Under Uncertainty by Andreopoulos, Alexander, Tsotsos, John K.

“… computational resources and a search cost constraint. We present a number of bounds relating the noise-rate of low level feature detection to the VC-dimension of an object representable by an architecture satisfying the given computational constraints…”
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Factor graph framework for semantic video indexing by Ramesh Naphade, M., Kozintsev, I.V., Huang, T.S.

“…Video query by semantic keywords is one of the most challenging research issues in video data management…”
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Stel Component Analysis: Joint Segmentation, Modeling and Recognition of Objects Classes by Perina, Alessandro, Jojic, Nebojsa, Cristani, Marco, Murino, Vittorio

“… as “stel models.” Their main characteristic is to segment objects in clear, often semantic, parts as a consequence of the modeling constraint which forces the regions belonging to a single segment to have a…”
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Reduced Analytic Dependency Modeling: Robust Fusion for Visual Recognition by Ma, Andy J., Yuen, Pong C.

“…This paper addresses the robustness issue of information fusion for visual recognition. Analyzing limitations in existing fusion methods, we discover two key…”
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Video Behaviour Mining Using a Dynamic Topic Model by Hospedales, Timothy, Gong, Shaogang, Xiang, Tao

“… This task is especially challenging due to the complexity of the object behaviors to be profiled, the difficulty of analysis under the visual occlusions and ambiguities common in public space video…”
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Robust Visual Tracking via Structured Multi-Task Sparse Learning by Zhang, Tianzhu, Ghanem, Bernard, Liu, Si, Ahuja, Narendra

“…In this paper, we formulate object tracking in a particle filter framework as a structured multi-task sparse learning problem, which we denote as Structured Multi-Task Tracking (S-MTT…”
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Harmony Potentials: Fusing Global and Local Scale for Semantic Image Segmentation by Boix, Xavier, Gonfaus, Josep M., van de Weijer, Joost, Bagdanov, Andrew D., Serrat, Joan, Gonzàlez, Jordi

“…The Hierarchical Conditional Random Field (HCRF) model have been successfully applied to a number of image labeling problems, including image segmentation…”
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Incremental Tensor Subspace Learning and Its Applications to Foreground Segmentation and Tracking by Hu, Weiming, Li, Xi, Zhang, Xiaoqin, Shi, Xinchu, Maybank, Stephen, Zhang, Zhongfei

“…Appearance modeling is very important for background modeling and object tracking…”
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An Efficient Approach to Semantic Segmentation by Csurka, Gabriela, Perronnin, Florent

“…We consider the problem of semantic segmentation, i.e. assigning each pixel in an image to a set of pre-defined semantic object categories…”
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