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...

Université de Neuchâtel

Free-form 3D object reconstruction from range images

Schütz, Christian ; Jost, Timothée ; Hügli, Heinz

In: Proceedings. International Conference on Virtual Systems and MultiMedia (VSMM '97), 1997, p. 69-80

The increasing use of virtual object representations for several applications creates a need for fast and simple object digitizing systems. Range finders provide a convenient way to digitize solid objects and permit the accurate and fast scanning of an object shape without any probe contact. However, only one view of an object can be captured at once, and therefore, for most objects, several...