Shape spectrum based view grouping and matching of 3D free-form objects

Dorai, Chitra; Jain, Anil K.

doi:10.1109/34.625116

Cited by 78 publications

(34 citation statements)

References 25 publications

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“…It stems from the desire to obtain a representative and adequate grouping of views, such that a given level of recognition accuracy may be achieved using the minimum number of stored views [3]. Clearly, this has important implications for the storage space needed to represent each object, and the number of matches which must be performed at run-time for the purpose of recognition.…”

Section: Characteristic Viewsmentioning

confidence: 99%

“…However, any other function may be used as the regularization term, and we have investigated several robust measures, including the classical Tukey [5] and Huber [9], and the Adaptive Prior Potential Functions of Li [13]. We also introduced [25] a continuous version of the piecewise Huber robust estimator, described by ´ µ ÐÓ Ó× (3) and found that this yielded the best results by offering a compromise between oversmoothing and noise rejection/numerical stability.…”

Section: Shape From Shadingmentioning

confidence: 99%

“…These ideas have been applied to the recognition of objects from large model-bases [23]. Meanwhile, Dorai and Jain have recently shown how histograms of surface curvature attributes can be used to recognise different views of curved objects in range images [3].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Increased Extent of Characteristic Views using Shape-from-Shading for Object Recognition

Worthington¹,

Huet²,

Hancock³

1998

Procedings of the British Machine Vision Conference 1998

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This paper investigates the use of shape-from-shading for object recognition. The local surface orientation information recovered using shape-fromshading is shown to provide useful input to an appearance-based object recognition scheme. We consider two representations which may be recovered from shading information -the needle-map, and the local curvature shapeindex -and examine their relative performance for object recognition. Specifically, we use a histogram-comparison technique, and focus upon the relative stability of the representations to small changes of viewpoint. We demonstrate that the needle-map representation allows the view-sphere to be spanned using a significantly smaller number of characteristic views than using either the raw images or the shape index.

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Section: Characteristic Viewsmentioning

confidence: 99%

Section: Shape From Shadingmentioning

confidence: 99%

See 1 more Smart Citation

Increased Extent of Characteristic Views using Shape-from-Shading for Object Recognition

Worthington¹,

Huet²,

Hancock³

1998

Procedings of the British Machine Vision Conference 1998

View full text Add to dashboard Cite

show abstract

“…However, there are two drawbacks to this approach: (1) analytical prediction is impractical in some domains; and (2) synthetic images are not yet realistic enough for general use. More recently, Dorai and Jain [22] have developed a method of view grouping for free from objects, using range images.…”

Section: Related Workmentioning

confidence: 99%

3D Object Recognition and Pose with Relational Indexing

Costa¹,

Shapiro²

2000

Computer Vision and Image Understanding

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This paper addresses the problem of recognizing 3D objects from 2D intensity images. It describes the object recognition system named RIO (relational indexing of objects), which contains a number of new techniques. RIO begins with an edge image obtained from a pair of intensity images taken with a single camera and two different lightings. From the edge image, a set of new high-level features and relationships are extracted, and a technique called relational indexing is used to efficiently recall 2D view-class object models that have similar relational descriptions from a potentially large database of models. Once a model has been hypothesized, pairs of 2D-3D corresponding features, including point pairs, line-segment pairs, and ellipse-circle pairs, are used in a new linear pose estimation framework to produce a hypothesized transformation from a 3D mesh model of the object to the image. The transformation is either accepted or rejected by a verification procedure that projects the 3D model wireframe to the image and computes a Hausdorff-like distance measure between the projected model and the edge image. The resultant object recognition system is able to recognize 3D objects having planar, cylindrical, and threaded surfaces in complex, multiobject scenes.

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“…A discussion of these techniques falls beyond the scope of this chapter. Interested readers are referred to [12][13][14][15][16][17].…”

Section: The Virtual Boutique: Multimedia Retrieval and Data Mining Fmentioning

confidence: 99%

The Virtual Boutique: Multimedia Retrieval and Data Mining for E-Commerce and E-Business in the Framework of a Virtual Environment

Paquet

Viktor

2003

Knowledge-Based Information Retrieval and Filtering From the Web

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Abstract:This chapter presents an approach for multimedia information retrieval employing an image-based algorithm. The Virtual Boutique is a novel, content-based system for multimedia information retrieval, based on virtual reality and visual information management. It supports realistic and fast rendering, extensive manipulation, reconfiguration and multimedia searching capabilities. The Virtual Boutique includes algorithms for searching through the inventory of an e-business, utilizing both images and three-dimensional objects. The chapter shows the application of The Virtual Boutique to an online boutique. In addition, it is illustrated how data mining can be used to determine patterns in consumer-interaction

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Shape spectrum based view grouping and matching of 3D free-form objects

Cited by 78 publications

References 25 publications

Increased Extent of Characteristic Views using Shape-from-Shading for Object Recognition

Increased Extent of Characteristic Views using Shape-from-Shading for Object Recognition

3D Object Recognition and Pose with Relational Indexing

The Virtual Boutique: Multimedia Retrieval and Data Mining for E-Commerce and E-Business in the Framework of a Virtual Environment

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