[PDF] Top 20 Biologically inspired object categorization in cluttered scenes

... All details about the model are represented in the following chapters. 1.3. Related Work One of the early models of the visual system was implemented by Fukushima in the 1980s. This model is called Neocognitron (1980, ... See full document

... issue. Inspired by the biological visual systems, researchers have put forward a variety of biologically-inspired visual models for target detection, such as classical saliency map and ... See full document

... 2 Biologically-Inspired Progressive Enhancement Target Detection from Heavy Cluttered SAR Images Abstract High-resolution SAR (synthetic aperture radar) can provide a rich information source for ... See full document

... Work Inspired by motion cognition at the MST area of the human brain, we propose a novel approach which combines ICA of optical flow with PCA to detect moving objects in the context of complex outdoor ... See full document

... an object as a chair, we have a pretty good sense of how far it extends in depth and what it might look like from another ...like object detection, semantic or instance segmentation, fine-grained ... See full document

... our biologically inspired grasping strategy ...the object – which is required to select a grasp prototype, ...on object size, and to correctly align the hand to the object – we fit a ... See full document

... Object recognition is one of many tasks in which the computer is still behind the hu- man. Therefore, development in this area takes inspiration from nature and especially from the function of the human brain. ... See full document

... This chapter has developed three topologies for object recognition. The introduced topologies provide a trade-off between three essential elements for image classifi- cation: classification accuracy, decision ... See full document

... Due to the alignments, by round 3 many of the poses are very similar so we perform the clustering step and one final round of alignments. Hill climbing is more expensiv[r] ... See full document

... non-planar object detection and recognition [ 14 ], but object recognition and matching in cluttered scenes were not considered in these ...works. Object recognition and matching in ... See full document

... 3-D object detection for service robots operating in a cluttered indoor ...3-D object detection system using laser point clouds is proposed to deal with cluttered indoor scenes with a ... See full document

... the object recognition task can be done by human within 150ms, which is backed by [Hung et al 2005], whose studies show that portion of the IT region contained accurate and robust information supporting a variety ... See full document

... One could also just extract the target object out of the image and provide a dark background for it, but this is a tedious task and just inverting the picture works for most cases. So for this simulation, the ... See full document

... There exists a number of different design models covering all or some of the activities described above. The ISO- standard 1 mentions a sequential model with 5 steps as shown in figure 6. The focus is on the search and ... See full document

... on biologically inspired design (BID) was initiated during a sabbatical semester spent by Akhlesh Lakhtakia at Danmarks Tekniske Universitet (DTU) during the second half of 2019, at the invitation of Torben ... See full document

... Abstract This thesis addresses the basic ideas and approaches used when parallelizing biologically inspired algorithms. Its foundation is an attempt of speeding up an algorithm developed on the Joˇ zef ... See full document

... of cluttered background such as movements of leaves of trees, under various types of occlusion (object to object and object to scene occlusion) and scale change of object (small or ... See full document

... Then we reward the network for the number of activations in the response excitatory groups within the 20-ms response interval for synapse reinforcement from the stimulus group to the t[r] ... See full document

... The networks were compared in terms of costs, fault tolerance and efficiency. We demonstrated that the Physarum algorithm produces network which are superior in terms of costs, tolerance and efficiency. Further research ... See full document

... n biologically inspired robotic motion control, reaching- to-grasp tasks are considered quite interesting, due to the diverge roles of the collaborating brain regions that are involved in their execution, ... See full document