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Patent

Object finder for photographic images

TLDR
In this paper, a coarse-to-fine object detection strategy coupled with exhaustive object search across different positions and scales results in an efficient and accurate object detection scheme, and the object detection then proceeds with sampling of the quantized wavelet coefficients at different image window locations on the input image and efficient lookup of pre-computed log-likelihood tables to determine object presence.
Abstract
An object finder program for detecting presence of a 3D object in a 2D image containing a 2D representation of the 3D object. The object finder uses the wavelet transform of the input 2D image for object detection. A pre-selected number of view-based detectors are trained on sample images prior to performing the detection on an unknown image. These detectors then operate on the given input image and compute a quantized wavelet transform for the entire input image. The object detection then proceeds with sampling of the quantized wavelet coefficients at different image window locations on the input image and efficient look-up of pre-computed log-likelihood tables to determine object presence. The object finder's coarse-to-fine object detection strategy coupled with exhaustive object search across different positions and scales results in an efficient and accurate object detection scheme. The object finder detects a 3D object over a wide range in angular variation (e.g., 180 degrees) through the combination of a small number of detectors each specialized to a small range within this range of angular variation.

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Citations
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References
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