Abstract: A first set of pixels forming a first set of rows and a first set of columns of a first image acquired by an image acquisition device is received. A first corrected set of pixels forming a first corrected set of rows and a first corrected set of columns is generated from the first set of pixels. Successive pixels of each row from the first corrected set of rows correspond to successive parallel lines in a plane defined by the sheet of light that are equally spaced along a first axis of a world coordinate system. Successive pixels of each column from the first corrected set of columns correspond to successive parallel lines in the plane defined by the sheet of light that are equally spaced along a second axis of the world coordinate system. Based on the first corrected set of pixels, a first set of points of the sheet of light is determined. The first set of points of the sheet of light is used to obtain a three-dimensional profile of the object.

Abstract: A first set of pixels forming a first set of rows of a first image acquired by an image acquisition device is received. A first partially corrected set of pixels forming a first partially corrected set of rows is generated from the first set of pixels where successive pixels of a row from the first partially corrected set of rows correspond to successive parallel lines in a plane defined by the sheet of light that are equally spaced along a first axis of a world coordinate system. Based on the first partially corrected set of pixels and based on a peak extraction mechanism, a first partially corrected set of points of the sheet of light is extracted. The first partially corrected set of points is transformed to obtain a first corrected set of points of the sheet of light that are corrected in a first and a second direction.

Abstract: A method for recognizing an occurrence of an object in an image is provided where the appearance of the object may vary from one occurrence to another. The method includes defining a model set for object recognition, the model set including at least one model, acquiring a target image, processing the target image according to a set of morphological operations to obtain a set of morphologically-processed target images, performing object recognition on the set of morphologically-processed target images for the defined model set, and selecting at least one candidate occurrence of a model of the defined model set in the target image based on the object recognition performed on the set of morphologically-processed target images.