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Falsification of human faces using face photos has been an arising problem for face recognition and verification systems. In this paper, we propose a system to distinguish face photos from true faces by their motion models. In order to enhance the difference between the two classes, we design an enhanced optical flow method which generates a larger difference between the motion model of true faces...
In this paper, a novel scheme is proposed for face recognition or authentication against illumination, and expression variation using multimodal face features. First, a sub -image in low-frequency sub-band is extracted by a wavelet-based transform to preserve the invariant data and reduce the dimensionality. The reduced sub-image LL is partitioned into four parts for representing local features and...
This paper presents a hierarchical lane detection system with the ability to deal with both structured and unstructured roads. The proposed system classifies the environment first before applying suitable algorithms for different types of roads. For environment classification, pixels with lane- marking colors are extracted as feature points. Eigenvalue decomposition regularized discriminant analysis...
This paper presents a novel vehicle detection approach for detecting vehicles from static images using color and edges. Different from traditional methods, which use motion features to detect vehicles, this method introduces a new color transform model to find important "vehicle color" for quickly locating possible vehicle candidates. Since vehicles have various colors under different weather...
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