In: Photonics East (Proceedings of SPIE), 1996, vol. 2904, no. 9, p. 66-74
This paper investigates the recognition performance of a geometric matching approach to the recognition of free-form objects obtained from range images. The heart of this approach is a closest point matching algorithm which, starting from an initial configuration of two rigid objects, iteratively finds their best correspondence. While the effective performance of this algorithm is known to depend...
|
In: 3D Pattern Recognition for Intelligent Robots, Intelligent Robots and Computer Vision XIV : Algorithms, Techniques Active Vision and Material Handling (Proceedings of SPIE), 1995, vol. 2588, p. 476-484
This paper investigates a new approach for the recognition of 3D objects of arbitrary shape. The proposed solution follows the principle of model-based recognition using geometric 3D models and geometric matching. It is an alternative to the classical segmentation and primitive extraction approach and provides a perspective to escape some of its difficulties to deal with free-form shapes. The...
|
In: Proceeding ACCV'95 (Asian Conference on Computer Vision), 1995, p. 1-6
This paper investigates a new approach to the recognition of 3D objects of arbitrary shape. The proposed solution follows the principle of model-based recognition using geometric 3D models and geometric matching. It is an alternative to the classical segmentation and primitive extraction approach and provides a perspective to escape the difficulties found with it when dealing with free-form...
|
In: From Pixels to Sequences - Sensors, algorithms and systems (Proceedings conference ISPRS intercommission workshop), 1995, vol. 30, no. 5W1, p. 128-133
This paper is a contribution to the recognition of arbitrary 3-D shapes from range images. Recently, a closest point matching algorithm was proposed that is in a position to match 3-D shapes without the need of an explicit object description in terms of primitives. The advantage is that the comparison works directly on the 3-D coordinates of the surface points and needs neither segmentation nor...
|
