This paper investigates the suitability of graphical process unit (GPU) for a novel 3D object local descriptor named Signature of histogram of orientations (SHOT). SHOT presents a great balance between descriptiveness and robustness but its high complexity incurs heavy computational workload. We designed two parallel SHOTs on GPU to speed up the original serial counterpart. Experiment results show both the precise and approximate parallel algorithms exhibit outstanding speed performance. Moreover, we validated the descriptiveness of both parallel SHOTs were at high level through quantitative experimental comparisons
This paper presents a novel local surface descriptor by encoding the neighboring points' positio...
ColourFAST is an alternative technique to FAST developed by Ensor and Hall used to extract feature p...
Abstract. This paper deals with local 3D descriptors for surface matching. First, we categorize exis...
Signature of histogram of orientations (SHOT) as a novel 3D object local descriptor can achieves a g...
The fields of 3D computer vision, 3D robotic perception and photogrammetry rely more and more heavil...
The fields of 3D computer vision, 3D robotic perception and photogrammetry rely more and more heavil...
Embedded three-dimensional (3D) Computer Vision (CV) is considered a technology enabler for future c...
This paper presents a local 3D descriptor for surface matching dubbed SHOT. Our proposal stems from ...
Local invariant features have been widely used as fun-damental elements for image matching and objec...
Many high dimensional data mining applications involve the nearest neighbor search (NNS) on a KD-tre...
A number of 3D local feature descriptors have been proposed in literature. It is however, unclear wh...
The increasing adoption of 3D capturing equipment, now also found in mobile devices, means that 3D c...
To overcome the high computing cost associated with high-dimensional digital image descriptor matchi...
This paper presents a new 3D global feature descriptor for object recognition using shape representa...
In recent years, the local feature descriptor called SHOT (Signature of Histograms of OrienTations) ...
This paper presents a novel local surface descriptor by encoding the neighboring points' positio...
ColourFAST is an alternative technique to FAST developed by Ensor and Hall used to extract feature p...
Abstract. This paper deals with local 3D descriptors for surface matching. First, we categorize exis...
Signature of histogram of orientations (SHOT) as a novel 3D object local descriptor can achieves a g...
The fields of 3D computer vision, 3D robotic perception and photogrammetry rely more and more heavil...
The fields of 3D computer vision, 3D robotic perception and photogrammetry rely more and more heavil...
Embedded three-dimensional (3D) Computer Vision (CV) is considered a technology enabler for future c...
This paper presents a local 3D descriptor for surface matching dubbed SHOT. Our proposal stems from ...
Local invariant features have been widely used as fun-damental elements for image matching and objec...
Many high dimensional data mining applications involve the nearest neighbor search (NNS) on a KD-tre...
A number of 3D local feature descriptors have been proposed in literature. It is however, unclear wh...
The increasing adoption of 3D capturing equipment, now also found in mobile devices, means that 3D c...
To overcome the high computing cost associated with high-dimensional digital image descriptor matchi...
This paper presents a new 3D global feature descriptor for object recognition using shape representa...
In recent years, the local feature descriptor called SHOT (Signature of Histograms of OrienTations) ...
This paper presents a novel local surface descriptor by encoding the neighboring points' positio...
ColourFAST is an alternative technique to FAST developed by Ensor and Hall used to extract feature p...
Abstract. This paper deals with local 3D descriptors for surface matching. First, we categorize exis...