Computer Vision: Algorithms and Applications - Szeliski
Sep 3, 2010 ... Points and patches • ... Instance recognition • Category recognition • ... applications of computer vision to fun problems such as image .... algorithms, which can enable you to tackle more ambitious projects (with your ... interest in visual processing, 3D modeling, and statistical methods, while Larry Matthies.
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Visual Object Recognition
The visual recognition problem is central to computer vision research. ... 3.2 Detection of Interest Points and Regions . ... 4.1.3 A Rule of Thumb for Reducing Ambiguous Matches ..... Kristen Grauman's work on this project was supported in part by NSF ... seek to identify instances of a particular object, place, or person— for ...
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Computer Vision: Summary and Discussion
Dec 5, 2011 ... Computer Vision. CS 143, Brown ... If you proposed your own final project, you need to prepare a 5 ... object instance recognition. – Harris: ... parameters. • Works well if there are very few parameters (3-4) ... Improve efficiency: e.g., cluster interest points before recognition ... Important questions: • How can ...
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Location Recognition using Prioritized Feature Matching
Department of Computer Science, Cornell University, Ithaca, NY 14853 ... the most common, which feature points in a scene are most reliable, and which .... Location Recognition using Prioritized Feature Matching. 3. 2 Related Work ... Given a large collection of images of a specific area of interest (e.g., “Rome”) down-.
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Project-Team LEAR Learning and Recognition in Vision
6.1.3. Class-specific features for category-level recognition. 10. 6.1.4. Interest region .... and videos is one of the fundamental challenges of computer vision and we ... point invariant image descriptors are now available, such as affine- invariant ..... conditions, the question which descriptors are most appropriate to describe ...
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Project-Team LEAR - LEAR team - Inria Grenoble Rhône-Alpes
Weakly Supervised Object Localization with Multi-fold Multiple Instance Learning ... A robust and efficient video representation for action recognition ..... Object category localization is a challenging problem in computer vision. .... Figure 3. Image retrieval pipeline. Interest points are extracted with the Hessian-affine detector ...
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Shape matching and object recognition using shape contexts
Corresponding points on two similar shapes will have similar shape contexts, enabling us to solve for ... computer vision literature, Fischler and Elschlager  .... instance), and using key points alone sacrifices the shape .... 3. Shape context computation and matching. (a) and (b) Sampled edge points of two shapes.
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Computer Vision — Visual Recognition - CiteSeerX
for parsing architectural images , to a novel approach for face recognition based on ... Several of my projects address analyzing imagery of people, from detection , ... by visual recognition algorithms that identify either activities of interest or the ... general problem has a long history in computer vision, and the core idea, ...
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Depth Kernel Descriptors for Object Recognition - Washington
features (e.g. Spin images); and (3) we significantly improve the capabilities of ... in computer vision is large-scale recognition (hundreds of thousands of ... open question what is the best way to extract features over a ... depth maps and 3D point clouds for object recognition. ... if for instance a Gaussian kernel is used. Thus ...
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Recognition using Regions - EECS at UC Berkeley
swer to the question: is there an instance of object category. C (face, car ... interest point-based features, as proposed by  and , have tended to ... The computer vision ... our main recognition algorithm which has three stages: (1) voting ...
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The SYNTHIA Dataset - The Computer Vision Foundation
question we have generated a synthetic collection of diverse urban images ... performance of vision-based tools such as object detection, recognition of ... For instance, for some ... Moreover, in the context of ADAS/AD the interest in us- .... 3. The SYNTHIA Dataset. Here we describe our synthetic dataset of urban scenes,.
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Local Invariant Feature Detectors: A Survey
Computer Graphics and Vision. Vol. 3 ... In this survey, we give an overview of invariant interest point detectors, ... In the following, we distinguish three broad categories of feature ... instance, edges detected in aerial images often correspond to roads; blob ... context of object recognition (both for specific objects as well as for.
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Discriminative vs. Generative Object Recognition - Computational
Apr 30, 2007 ... how I approached research questions and new projects then, and how I ... most challenging and potentially useful problems in computer vision. .... III Comparing Generative and Discriminative Learning. 83 ... 6.3.2 Interest-Point Detection . .... instance, when recognizing and distinguishing between faces, we ...
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Project Report - the UNC Department of Computer Science
For instance, although it seems that we can recognize objects equally well from any ... This project especially deals with recognition of 3-D objects. ... Generally, in computer vision an object recognition system is divided into two parts - ..... features means applying an interest point detector on the training image and to extract.
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Visual Turing test for computer vision systems
Mar 24, 2015 ... scene interpretation | computer vision | Turing test | binary questions | unpredictable ... generic tasks, such as detecting and localizing instances from multiple ... quently, there is no point in designing a “competition” between computer ... each designed to assess some vision task (e.g., object detection) on.
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Download - KIT
Mar 18, 2014 ... Project Type: ... Chapter 3 deals with learning object representation through .... remains an open question. .... the proposed approach in both single instance object recognition and ... In International Conference on Computer Vision Theory and .... 3-D interest point a SIFT feature descriptor  is calculated,.
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PR .pdf - Carnegie Mellon School of Computer Science
Human motion analysis concerns the detection, tracking and recognition of people, and more ... Human motion analysis has attracted great interests from computer vision ... Projects Agency) funded a multi-institution project on Video Surveillance and ... image sequence, and recover the underlying 3-D body structure for the ...
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Thesis - Ian Simon
With billions of photos now online, much computer vision research has been ... new way to answer such questions about the world, and our perception of it, using ..... In the first project, scene summarization (Chapter 3), I automatically derive, from ..... A feature refers to an interest point in a 2D image as computed by an.
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Representations for Cognitive Vision: A Review of Appearance
sentation of objects has been covered extensively in computer vision ... as well as from a recognition point of view, cognitive vision will also require new ... are for instance to be able to correctly answer queries regarding the relative ...... 3. The question of a purposive and qualitative representation should be addressed.
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orange labs beijing(ftrdbj) at trecvid 2013: instance - Retrieval Group
TRECVID, Instance Search, Face Recognition, Convolution. Neural Network. 1. ... been shown to be effective in multiple computer vision tasks, one of which is ...
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