PRESENTED BY:
Devansh Tripathi


Goal
• Recognition of object categories
• Unassisted learning
Some object categories
Difficulties:
• Size variation
• Background clutter
• Occlusion
• Intra-class variation
Main issues
• Representation
• Learning
• Recognition
Model: Constellation of Parts
f Fischler & Elschlager 1973
f Yuille ‘91
f Brunelli & Poggio ‘93
f Lades, v.d. Malsburg et al. ‘93
f Cootes, Lanitis, Taylor et al. ‘95
f Amit & Geman ‘95 ....etc

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Request;We want ppt about the real time implementation on moving object tracking and recognition using mat lab.

Requirements;ppt



....etc

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i am doing final year
i need this paper for my project ....etc

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pls sent about analysis of quality of object oriented systems using object oriented metrics ppt
thanku. ....etc

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Hello,
Here I want to get help about the image processing. Here I want to inform that I am using a webcam. I want to differentiate between the objects of the same size but having different coloures. The object is the ball of 50mm diameter. It can be of three different coloures- red, blue or black. Please let me know how I can track that ball and estimate, where the ball would be after some certain time or when and where it will reach. The ball is rolled on a ramp.
Thank you.... ....etc

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Object Recognition
1. INTRODUCTION
Computational visual recognition concerns identifying what is in an image, video, or other visual data, enabling applications such as measuring location, pose, size, activity, and identity as well as indexing for search by content. Recent progress in making economical sensors and improvements in network, storage, and computational power make visual recognition practical and relevant in almost all experimental sciences and commercial applications such as image search
All of this work is part of ....etc

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I want seminar report and ppt for object recognition and types of object recognition ....etc

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ABSTRACT
Machine vision or computer vision is the study of methods that machines understand multi-dimensional data, such as images or a sequence of images, three-dimensional volume data, and single to multi-variable signals. Whereas computer vision is mainly focused on machine-based image processing, machine vision most often requires also digital input/output devices and computer networks to control other manufacturing equipment such as robotic arms. Machine Vision is a subfield of engineering that encompasses comp ....etc

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ABSTRACT

Template matching is an object detection technique in image processing to find small parts of an image which match a template image. There are many methods one can adopt for this purpose.

Matching can be Template based, in which case every pixel that contributes to the template may be matched against every pixel of the image using any means of comparison (eg. SAD, SSD, cross-correlation), or it can me Feature based, where the matching is on the basis of some strong features that the template ma ....etc

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Abstract
Viewpoint independent recognition of free-form objects and their segmentation in the presence of clutter and occlusions is a challenging task. We present a novel 3D model-based algorithm which performs this task automatically and efficiently. A 3D model of an object is automatically constructed offline from its multiple unordered range images (views). These views are converted into multidimensional table representations (which we refer to as tensors). Correspondences are automatically established between thes ....etc

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