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Accurately tracking the six degree-of-freedom pose of an object in real scenes is an important task in computer vision and augmented reality with numerous applications. Although a variety of algorithms for this task have been proposed, it remains difficult to evaluate existing methods in the literature as oftentimes different sequences are used and no large benchmark datasets close to realworld scenarios...
Robust image features are essential in building effective image recognition engines. These features can be constructed according to various principles, such the distribution of local gradients (Histogram of Oriented Gradients, HOG), the relationship between two pixels (Local Binary Descriptors, LBD), or local intensity order statistics (Local Intensity Order Patterns, LIOP). Because the feature dimension...
While the technology node continually and aggressively scales, the resolution of FIB techniques does not scale as fast. Thus, the percentage of nets which can be observed or repaired through FIB probing or circuit editing is significantly decreased for advanced process technologies, which limits the candidates that can be physically examined through the FIB techniques during the debugging process...
Non-Manhattan structures, such as the X and Y architectures, propose different flavors in reducing the use of physical resources, such as total wirelength and number of vias. However, in order to take full advantage of these structures, we need to develop new tools for these architectures, especially for early stages in physical design. In this paper, we propose the packing algorithm with isosceles...
The fault diagnosis has become an increasing portion of todaypsilas IC-design cycle and significantly determines productpsilas time-to-market. However, the failure behaviors from the defective chips may not be fully represented by the single fault model. In this paper, we propose a fault-diagnosis framework targeting multiple stuck-at faults. This framework first reports a minimal suspect region,...
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