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Highlights ► Periodic motions can be reconstructed in 3D based only on their apparent trajectories viewed from a single camera. ► Focus is on real human motions. ► The degree of periodicity is examined. ► We demonstrate applicability to clinical gait analysis, in the form of a diagnostic...
Highlights ► We separate reflection components based on the surface chromaticity invariant. ► We estimate surface normal for non-Lambertian surfaces. ► We derive a linear relationship between the image color and the surface normal. ► We demonstrate accurate surface reconstruction of...
Highlights ► The shape based view space models pose more accurately. ► The pose recovery in Kalman filter encourages better AAM fitting for face tracking. ► The adaptive incorporation of the local appearance constraint improves robustness. ► Random forest based shape initialization to use...
Highlights ► Extract discriminative parts of an object from any part of the object. ► An extracted discriminative part is not confined to any specified shape. ► Our method can incrementally learn discriminative parts. ► The decision tree technique is used to accelerate recognition...
Highlights ► We learn to recognize exemplars from unstructured collections of captioned images. ► Using language, we perceptually group local features into meaningful parts. ► We further group discovered parts into flexible hierarchical configurations. ► Learned visual structures are...
Highlights ► We study the maximum weight region problem. ► Decomposing for basic shapes has already been studied. ► We consider target shape as a union of basic shapes. ► If regions cannot overlap the problem is in P . ► If regions may overlap it is NP-hard.
Highlights ► Each fragment describing a different object part has a reliability value. ► Current visual context dynamically adjusts fragment reliabilities for adaptive cue integration. ► Each fragment contributes to the joint tracking result relative to its reliability. ► Fragments-based...
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