Search Results - 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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The Concept of Modeling Packing and Covering Problems Using Modern Computational Geometry Software by Yakovlev, S. V.

“… To solve the problems, special computational geometry software libraries are used. They do not require an analytical form of the functions that describe the packing and covering conditions but allow their verification…”
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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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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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A Branch-and-Bound Approach to Correspondence and Grouping Problems by Bazin, J., Hongdong Li, In So Kweon, Demonceaux, C., Vasseur, P., Ikeuchi, K.

“… It is a key ingredient for a wide range of vision tasks, including three-dimensional reconstruction and object recognition…”
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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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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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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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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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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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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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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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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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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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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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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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Skin Cancer Detection Using Semi-Unsupervised Deep Learning in Generative Adversarial Networks: A Study on Melanoma Detection by Nhat Tran, Quang, Kakarndee, Sirirat, Suo, Lu, Jiraruttrakul, Russarin, Nuchitprasitchai, Siranee

“… While various deep learning techniques, including object detection and supervised learning utilizing frameworks such as Visual Geometry Group Neural Network (VGGNet…”
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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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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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