[PDF] Top 20 Object detection and recognition for robotic applications

... addressed: Detection and identification of decorative stones for textile industry; Detection of the ball in robotic soccer; Detec- tion of objects in a service robot, that operates in a ... See full document

... [4] and Viola and Jones [5] have developed rejection cascades, reducing the time required to detect ...of applications – from thumbnail generation [6] to semantic colorization ...interest, and ... See full document

... selective object detection in an image is getting an increasing ...Such detection is highly demanded for optimization of recognition algorithms based on Deep Learning, which provides high ... See full document

... of object detection, which are object generation, where the locations of possible objects are in an image and object verification, where tests are performed to verify the presence of ... See full document

... Object detection and extraction problems remain a great challenge in computer vision ...each object is a puzzle piece and when fit together form a semantic ...each object by ... See full document

... In Fig. 5.6 it is possible to see the robot path along the field and the measured ball position. In Table 5.1, it is presented an analysis of the data measured during the test. Already visible in Fig 5.6, the ... See full document

... to object categorization/recognition, a coarse-to-fine scale strat- egy appears to be ...star and a van from a traffic sign (see ...more and more detail, until the finest scale at which essential ... See full document

... address object recognition are dated more than four decades ago [Agin, 1972; Binford, ...scope applications have achieved significant success such as: handwriting digits, human face and road ... See full document

... retina, and each neighboring neuron in the S1-inst and S1-del layer overlaps its receptive field by two pixels with its neighbor in both the horizontal and vertical ...leaky and do not ... See full document

... simple object extraction and recognition method with efficient searching for identifying and extracting the objects in a complex scene based on the color features has been proposed and ... See full document

... Fingerprint recognition for security authentication or forensic applications, medical imaging used for multiple body studies like people’s brain morphology while they age, surveillance to detect and ... See full document

... for object recognition under severe and varied conditions of occlusion is ...in object recognition: representation of parts, retrieval of the most probable objects and hypotheses ... See full document

... as object, record, point, vector, pattern, event, case, sample, observation, entity) [20] ...continuous and categorical ...statistical and classification based ... See full document

... particular object in a video stream and automatically decide if it belongs to a particular class one should utilize a number of different machine learning techniques and algorithms, solving ... See full document

... commercial and research use under the open source BSD ...C and C++ taking advantage of multicore processors and runs under Linux, Windows, MacOS X, PSP (PlayStation Portable), VCRT (Real-Time OS on ... See full document

... an object and writing can become very ...grasp and hold to the cup. Further- more, when we place an object on a surface we combine information from our memory regarding the weight, compliance ... See full document

... accurate recognition, this method requires a vast quantity of an- notated data, which in turn increases, even more, the computational cost of the training ...label and confidence score - in the Verification ... See full document

... x and y variables factor and centroid ...0 and ∆y = 0. This means that the object is ...x and y coordinates relatively to the matrix centre (reference point at which it will proceed ... See full document

... Pattern recognition is used to find most likely features from the input ...pattern recognition is done in many areas in which study of GIS images is also one of the interesting ...new and advanced ... See full document

... NNs and SVMs in the application of classifying automotive wheels in an industrial ...noise and to typical dimensional variations observed in manufactured products is also ...accuracy and ... See full document