250 research outputs found
Fine-Grained Product Class Recognition for Assisted Shopping
Assistive solutions for a better shopping experience can improve the quality
of life of people, in particular also of visually impaired shoppers. We present
a system that visually recognizes the fine-grained product classes of items on
a shopping list, in shelves images taken with a smartphone in a grocery store.
Our system consists of three components: (a) We automatically recognize useful
text on product packaging, e.g., product name and brand, and build a mapping of
words to product classes based on the large-scale GroceryProducts dataset. When
the user populates the shopping list, we automatically infer the product class
of each entered word. (b) We perform fine-grained product class recognition
when the user is facing a shelf. We discover discriminative patches on product
packaging to differentiate between visually similar product classes and to
increase the robustness against continuous changes in product design. (c) We
continuously improve the recognition accuracy through active learning. Our
experiments show the robustness of the proposed method against cross-domain
challenges, and the scalability to an increasing number of products with
minimal re-training.Comment: Accepted at ICCV Workshop on Assistive Computer Vision and Robotics
(ICCV-ACVR) 201
Engineering studentsâ spatial abilities in Budapest and Debrecen
The goal of this paper is to provide the level of ïŹrst-year engineering
studentsâ spatial abilities. We made our comparative survey at the Szent
IstvĂĄn University Budapest and University of Debrecen, Faculty of Engineering
among ïŹrst-year students of architecture. We made the survey among
those students, who were successful in Descriptive Geometry I and II. We
were looking for the answer for the question whether which part of the ïŹrstyear
architecture studentsâ spatial ability and spatial geometrical knowledge
is incomplete, and whether the students of two universities have suïŹcient differences
between their spatial ability. The test results have been statistically
evaluated and conclusions formulated.
Keywords: Spatial ability, Descriptive Geometry education
MSC: 51N0
Multiframe visual-inertial blur estimation and removal for unmodified smartphones
Pictures and videos taken with smartphone cameras often suffer from motion blur due to handshake during the
exposure time. Recovering a sharp frame from a blurry one is an ill-posed problem but in smartphone applications
additional cues can aid the solution. We propose a blur removal algorithm that exploits information from subsequent
camera frames and the built-in inertial sensors of an unmodified smartphone. We extend the fast non-blind
uniform blur removal algorithm of Krishnan and Fergus to non-uniform blur and to multiple input frames. We estimate
piecewise uniform blur kernels from the gyroscope measurements of the smartphone and we adaptively steer
our multiframe deconvolution framework towards the sharpest input patches. We show in qualitative experiments
that our algorithm can remove synthetic and real blur from individual frames of a degraded image sequence within
a few seconds
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Negyedik osztĂĄlyos ĂĄltalĂĄnos iskolai tanulĂłk ritmusolvasĂĄsĂĄnak vizsgĂĄlata szemmozgĂĄskövetĆ mĂłdszerrel
Motor recovery beginning 23 years after ischemic stroke
It is widely believed that most stroke recovery occurs within 6 mo, with little benefit of physiotherapy or other modalities beyond 1 yr. We report a remarkable case of stroke recovery beginning 23 yr after a severe stroke due to embolization from the innominate artery and subclavian artery, resulting from compression of the right subclavian artery by a cervical rib. The patient had a large right frontoparietal infarction with severe left hemiparesis and a totally nonfunctional spastic left hand. He experienced some recovery of hand function that began 23 yr after the stroke, 1 yr after he took up regular swimming. As a result, intensive physiotherapy was initiated, with repetitive large muscle movement and a spring-loaded mechanical orthosis that provides resistance to finger flexors and supports finger extensors. Within 2 yr, he could pick up coins with the previously useless left hand. Functional MRI studies document widespread distribution of the recovery in both hemispheres. This case provides impetus not only to more intensive and prolonged physiotherapy, but also to treatment with emerging modalities such as stem cell therapy and exosome and microRNA therapies. NEW & NOTEWORTHY Widespread bilateral activation of both sides of the cerebrum and cerebellum are demonstrated on functional MRI after motor recovery of a completely nonfunctional left hand that began 23 yr after a severe stroke. This suggests that the generally accepted window of recovery beyond which further therapy is not indicated should be entirely reconsidered. Physiotherapy and new modalities in development might be indicated long after a stroke
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