Université de Neuchâtel

How well performs free-form 3D object recognition from range images ?

Hügli, Heinz ; Schütz, Christian L.

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...

Université de Neuchâtel

Towards the recognition of 3D free-form objects

Schütz, Christian L. ; Hügli, Heinz

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...

Université de Neuchâtel

Geometric matching for free-form 3D object recognition

Hügli, Heinz ; Schütz, Christian ; Semitekos, Dimitrios

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...

Université de Neuchâtel

Recognition of 3-D objects with a closest point matching algorithm

Schütz, Christian ; Hügli, Heinz

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...