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Shape Matching and Object Recognition Using Shape Contexts

Seminar On CSE-4102. Shape Matching and Object Recognition Using Shape Contexts. It is easy for human to make difference between two similar object. It is difficult for machine to make difference between two similar object. Shape Context:.

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Shape Matching and Object Recognition Using Shape Contexts

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  1. Seminar On CSE-4102 Shape Matching and Object Recognition Using Shape Contexts Qudrat-E-Alahy Ratul, KUET, Khulna, Bangladesh

  2. It is easy for human to make difference between two similar object. • It is difficult for machine to make difference between two similar object. Qudrat-E-Alahy Ratul, KUET, Khulna, Bangladesh

  3. Qudrat-E-Alahy Ratul, KUET, Khulna, Bangladesh

  4. Shape Context: • It is Shape descriptor that play the role of shape matching. Log polar histogram Sample(a) Sample(b) Correspond found using bipartite matching Qudrat-E-Alahy Ratul, KUET, Khulna, Bangladesh

  5. Bipartite graph matching: • If cij denotes the cost between two point the cost is determined by: • Where, • pi is a point on the first shape. (shape (a)). • pj is a point on the second shape.(shape(b)). • The concept of using dummy node. To minimize Total cost. • Total cost of matching: Qudrat-E-Alahy Ratul, KUET, Khulna, Bangladesh

  6. Idle state: • Regularization : • We use affine model to choose a suitable family of transformation. • A standard choice of affine model: • T(x)=Ax+o • We use TPS(Thin Plate Spline) model transformation. • If there is noise in specified values then the interpolation is relaxed by regularization. • Regularization parameter determine the amount of smoothing. Qudrat-E-Alahy Ratul, KUET, Khulna, Bangladesh

  7. Qudrat-E-Alahy Ratul, KUET, Khulna, Bangladesh

  8. Qudrat-E-Alahy Ratul, KUET, Khulna, Bangladesh

  9. Qudrat-E-Alahy Ratul, KUET, Khulna, Bangladesh

  10. Digit recognation: Error is only 63 % using 20,000 training example. Qudrat-E-Alahy Ratul, KUET, Khulna, Bangladesh

  11. 3-D object detection: Using 72 view per object. Qudrat-E-Alahy Ratul, KUET, Khulna, Bangladesh

  12. A key characteristics of this approach is estimation of shape similarities and correspondence depends upon shape context. • In the experiment gray-scaled picture is used. • Some algorithm are modified while experimenting. Qudrat-E-Alahy Ratul, KUET, Khulna, Bangladesh

  13. Thank you Qudrat-E-Alahy Ratul, KUET, Khulna, Bangladesh

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